---
_id: '51518'
abstract:
- lang: eng
  text: In applications of piezoelectric actuators and sensors, the dependability
    and particularly the reliability throughout their lifetime are vital to manufacturers
    and end-users and are enabled through condition-monitoring approaches. Existing
    approaches often utilize impedance measurements over a range of frequencies or
    velocity measurements and require additional equipment or sensors, such as a laser
    Doppler vibrometer. Furthermore, the non-negligible effects of varying operating
    conditions are often unconsidered. To minimize the need for additional sensors
    while maintaining the dependability of piezoelectric bending actuators irrespective
    of varying operating conditions, an online diagnostics approach is proposed. To
    this end, time- and frequency-domain features are extracted from monitored current
    signals to reflect hairline crack development in bending actuators. For validation
    of applicability, the presented analysis method was evaluated on piezoelectric
    bending actuators subjected to accelerated lifetime tests at varying voltage amplitudes
    and under external damping conditions. In the presence of a crack and due to a
    diminished stiffness, the resonance frequency decreases and the root-mean-square
    amplitude of the current signal simultaneously abruptly drops during the lifetime
    tests. Furthermore, the piezoelectric crack surfaces clapping is reflected in
    higher harmonics of the current signal. Thus, time-domain features and harmonics
    of the current signals are sufficient to diagnose hairline cracks in the actuators.
article_number: '521'
article_type: original
author:
- first_name: Osarenren Kennedy
  full_name: Aimiyekagbon, Osarenren Kennedy
  id: '9557'
  last_name: Aimiyekagbon
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Tobias
  full_name: Hemsel, Tobias
  id: '210'
  last_name: Hemsel
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: Aimiyekagbon OK, Bender A, Hemsel T, Sextro W. Diagnostics of Piezoelectric
    Bending Actuators Subjected to Varying Operating Conditions. <i>Electronics</i>.
    2024;13(3). doi:<a href="https://doi.org/10.3390/electronics13030521">10.3390/electronics13030521</a>
  apa: Aimiyekagbon, O. K., Bender, A., Hemsel, T., &#38; Sextro, W. (2024). Diagnostics
    of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.
    <i>Electronics</i>, <i>13</i>(3), Article 521. <a href="https://doi.org/10.3390/electronics13030521">https://doi.org/10.3390/electronics13030521</a>
  bibtex: '@article{Aimiyekagbon_Bender_Hemsel_Sextro_2024, title={Diagnostics of
    Piezoelectric Bending Actuators Subjected to Varying Operating Conditions}, volume={13},
    DOI={<a href="https://doi.org/10.3390/electronics13030521">10.3390/electronics13030521</a>},
    number={3521}, journal={Electronics}, publisher={MDPI AG}, author={Aimiyekagbon,
    Osarenren Kennedy and Bender, Amelie and Hemsel, Tobias and Sextro, Walter}, year={2024}
    }'
  chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, Tobias Hemsel, and Walter
    Sextro. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating
    Conditions.” <i>Electronics</i> 13, no. 3 (2024). <a href="https://doi.org/10.3390/electronics13030521">https://doi.org/10.3390/electronics13030521</a>.
  ieee: 'O. K. Aimiyekagbon, A. Bender, T. Hemsel, and W. Sextro, “Diagnostics of
    Piezoelectric Bending Actuators Subjected to Varying Operating Conditions,” <i>Electronics</i>,
    vol. 13, no. 3, Art. no. 521, 2024, doi: <a href="https://doi.org/10.3390/electronics13030521">10.3390/electronics13030521</a>.'
  mla: Aimiyekagbon, Osarenren Kennedy, et al. “Diagnostics of Piezoelectric Bending
    Actuators Subjected to Varying Operating Conditions.” <i>Electronics</i>, vol.
    13, no. 3, 521, MDPI AG, 2024, doi:<a href="https://doi.org/10.3390/electronics13030521">10.3390/electronics13030521</a>.
  short: O.K. Aimiyekagbon, A. Bender, T. Hemsel, W. Sextro, Electronics 13 (2024).
date_created: 2024-02-20T06:46:43Z
date_updated: 2024-03-15T16:15:56Z
department:
- _id: '151'
doi: 10.3390/electronics13030521
funded_apc: '1'
intvolume: '        13'
issue: '3'
keyword:
- piezoelectric transducer
- self-sensing
- fault detection
- diagnostics
- hairline crack
- condition monitoring
language:
- iso: eng
publication: Electronics
publication_identifier:
  issn:
  - 2079-9292
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating
  Conditions
type: journal_article
user_id: '9557'
volume: 13
year: '2024'
...
---
_id: '44672'
abstract:
- lang: eng
  text: With enhancing digitalization, condition monitoring is used in an increasing
    number of application fields across various industrial sectors. By its application,
    increased reliability as well as reduced risks and costs can be achieved. Based
    on different approaches, technical systems are monitored and measured data is
    analyzed to enable condition-based or predictive maintenance. To this end, machine
    learning approaches are usually implemented to diagnose the health states or predict
    the health index of the monitored system. However, these trained models are often
    black-box models, not intuitively explainable for a human. To overcome this shortcoming,
    a model-based approach based on physics is developed for piezoelectric bending
    actuators. Such a model enables a transparent representation of the system. Moreover,
    the model-based approach is extended by a parameter-estimation to account for
    sudden changes in behavior e. g. caused by occurring cracks.
article_number: '114399'
article_type: original
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
citation:
  ama: 'Bender A. Model-based condition monitoring of piezoelectric bending actuators.
    <i>Sensors and Actuators A: Physical</i>. 2023;357. doi:<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>'
  apa: 'Bender, A. (2023). Model-based condition monitoring of piezoelectric bending
    actuators. <i>Sensors and Actuators A: Physical</i>, <i>357</i>, Article 114399.
    <a href="https://doi.org/10.1016/j.sna.2023.114399">https://doi.org/10.1016/j.sna.2023.114399</a>'
  bibtex: '@article{Bender_2023, title={Model-based condition monitoring of piezoelectric
    bending actuators}, volume={357}, DOI={<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>},
    number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier
    BV}, author={Bender, Amelie}, year={2023} }'
  chicago: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
    Actuators.” <i>Sensors and Actuators A: Physical</i> 357 (2023). <a href="https://doi.org/10.1016/j.sna.2023.114399">https://doi.org/10.1016/j.sna.2023.114399</a>.'
  ieee: 'A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,”
    <i>Sensors and Actuators A: Physical</i>, vol. 357, Art. no. 114399, 2023, doi:
    <a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>.'
  mla: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
    Actuators.” <i>Sensors and Actuators A: Physical</i>, vol. 357, 114399, Elsevier
    BV, 2023, doi:<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>.'
  short: 'A. Bender, Sensors and Actuators A: Physical 357 (2023).'
date_created: 2023-05-09T09:49:44Z
date_updated: 2023-05-09T09:53:31Z
department:
- _id: '151'
doi: 10.1016/j.sna.2023.114399
intvolume: '       357'
keyword:
- Condition Monitoring
- Model-based approach Diagnostics
- Varying conditions
- Explainability
- Piezoelectric bending actuators
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://authors.elsevier.com/a/1h2WV3IC9dF7Hm
oa: '1'
publication: 'Sensors and Actuators A: Physical'
publication_identifier:
  issn:
  - 0924-4247
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Model-based condition monitoring of piezoelectric bending actuators
type: journal_article
user_id: '54290'
volume: 357
year: '2023'
...
---
_id: '13460'
abstract:
- lang: eng
  text: 'Remaining useful lifetime (RUL) predictions as part of a condition monitoring
    system are focused in more and more research and industrial applications. To establish
    an efficient and precise estimate of the RUL of a technical product, different  uncertainties  have  to  be  handled.  To  minimize  the  uncertainties  of  the  RUL  estimation,  a  reliable
    and accurate prognostic approach as well as a good failure threshold are important.
    Regarding the failure threshold, most often  an  expert  sets  a  fixed  failure  threshold.  However,  neither  the  a  priori  known  failure  threshold  nor  a  fixedthreshold
    value are feasible in every application. Especially in the case of varying characteristics
    of the monitored system, an adaptive failure threshold is of great importance
    concerning the accuracy of the RUL estimation.  Rubber-metal-elements, which are
    used in a wide range of applications for vibration and sound isolation, are mon-itored
    by thermocouples to allow for lifetime predictions. Therefore, the element’s state
    is described by its temper-ature during its service life. Aiming to establish
    accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear
    material characteristics and changing operational conditions have to be considered.
    Consequently, different temperature-based failure threshold definitions are implemented
    and compared within a particle filtering approach. '
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Lennart
  full_name: Schinke, Lennart
  last_name: Schinke
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Bender A, Schinke L, Sextro W. Remaining useful lifetime prediction based
    on adaptive failure thresholds. In: Beer M, Zio E, eds. <i>Proceedings of the
    29th European Safety and Reliability Conference (ESREL2019)</i>. ; 2019:1262-1269.'
  apa: Bender, A., Schinke, L., &#38; Sextro, W. (2019). Remaining useful lifetime
    prediction based on adaptive failure thresholds. In M. Beer &#38; E. Zio (Eds.),
    <i>Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)</i>
    (Issue 29, pp. 1262–1269).
  bibtex: '@inproceedings{Bender_Schinke_Sextro_2019, title={Remaining useful lifetime
    prediction based on adaptive failure thresholds}, number={29}, booktitle={Proceedings
    of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Bender,
    Amelie and Schinke, Lennart and Sextro, Walter}, editor={Beer, Michael and Zio,
    Enrico}, year={2019}, pages={1262–1269} }'
  chicago: Bender, Amelie, Lennart Schinke, and Walter Sextro. “Remaining Useful Lifetime
    Prediction Based on Adaptive Failure Thresholds.” In <i>Proceedings of the 29th
    European Safety and Reliability Conference (ESREL2019)</i>, edited by Michael
    Beer and Enrico Zio, 1262–69, 2019.
  ieee: A. Bender, L. Schinke, and W. Sextro, “Remaining useful lifetime prediction
    based on adaptive failure thresholds,” in <i>Proceedings of the 29th European
    Safety and Reliability Conference (ESREL2019)</i>, Hannover, 2019, no. 29, pp.
    1262–1269.
  mla: Bender, Amelie, et al. “Remaining Useful Lifetime Prediction Based on Adaptive
    Failure Thresholds.” <i>Proceedings of the 29th European Safety and Reliability
    Conference (ESREL2019)</i>, edited by Michael Beer and Enrico Zio, no. 29, 2019,
    pp. 1262–69.
  short: 'A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings
    of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp.
    1262–1269.'
conference:
  end_date: 2019.09.26
  location: Hannover
  name: '29th European Safety and Reliability Conference '
  start_date: 2019.09.22
date_created: 2019-09-30T08:49:19Z
date_updated: 2023-09-22T07:31:53Z
department:
- _id: '151'
editor:
- first_name: Michael
  full_name: Beer, Michael
  last_name: Beer
- first_name: Enrico
  full_name: Zio, Enrico
  last_name: Zio
issue: '29'
keyword:
- RUL prediction
- adaptive threshold
- prognostics
- condition monitoring
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://rpsonline.com.sg/proceedings/9789811127243/html/0445.xml
oa: '1'
page: 1262-1269
publication: Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)
publication_identifier:
  isbn:
  - 978-981-11-2724-3
publication_status: published
quality_controlled: '1'
status: public
title: Remaining useful lifetime prediction based on adaptive failure thresholds
type: conference
user_id: '54290'
year: '2019'
...
---
_id: '9969'
abstract:
- lang: eng
  text: Zuverlässigkeit, Sicherheit und Verfügbarkeit gewinnen bei der Anwendung von
    technischen Systemen eine immer größere Bedeutung. Aus diesem Grund hat sich Condition
    Monitoring, die Zustandsüberwachung eines technischen Produkts, in verschiedenen
    Industriebranchen etabliert. Die sensorbasierte Überwachung eines Produkts während
    seiner Betriebsdauer in Kombination mit Condition Monitoring Methoden ermöglichen
    die Bestimmung des aktuellen Zustands des Produkts und somit eine Diagnose, ob
    das Produkt seine ihm zugeschriebene Funktion zum aktuellen Zeitpunkt erfüllt.
    Neben Diagnosen bietet Condition Monitoring auch die Möglichkeit Prognosen aufzustellen,
    dabei wird die restliche Nutzungsdauer des Produkts aufbauend auf geeigneten Sensordaten
    geschätzt. So kann eine intelligente Wartungsplanung umgesetzt werden, die im
    Gegensatz zu klassischen Ansätzen keine festen Wartungsintervalle benötigt und
    die Nachteile einer rein reaktiven Wartung kompensiert. Stattdessen ist es möglich
    ein Element bis vor das Ende seiner Lebensdauer zu nutzen und erst dann zu warten,
    um eine optimale Nutzung zu gewährleisten. Durch eine Bestimmung der verbleibenden
    Restlebensdauer während des Betriebs ist eine optimale Wartungsplanung möglich,
    wodurch die Verfügbarkeit und die Auslastung der überwachten Produkte signifikant
    gesteigert werden kann. In dieser Arbeit soll ein produktspezifisches Condition
    Monitoring System für Gummi-Metall-Elemente entwickelt werden. Diese Elemente
    werden zur Federung, Geräusch- und/oder Schwingungsisolation in vielen verschiedenen
    Anwendungen eingesetzt, wie bspw. in Nutz- und Schienenfahrzeugen oder Windenergieanlagen.
    In Industrie und Forschung werden bereits Zustandsüberwachungen von Systemen mit
    integrierten Gummi-Metall-Elementen eingesetzt, allerdings noch keine Condition
    Monitoring Systeme zur alleinigen Zustandsüberwachung dieser Elemente. Aktuell
    ist es üblich die Lebensdauer dieser Elemente aufbauend auf beschleunigten Lebensdauerversuchen
    und Erfahrungswerten abzuschätzen. Mit dem Ziel die Lebensdauer des fokussierten
    Produkts präziser vorherzusagen und damit eine intelligente Wartungsplanung zu
    ermöglichen, wird die Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente
    angestrebt und in dieser Arbeit erläutert.
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Thorben
  full_name: Kaul, Thorben
  id: '14802'
  last_name: Kaul
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Bender A, Kaul T, Sextro W. Entwicklung eines Condition Monitoring Systems
    für Gummi-Metall-Elemente. In: <i>Verlagsschriftenreihe Des Heinz Nixdorf Instituts
    Band 369, Paderborn, 2017</i>. Wissenschaftsforum Intelligente Technische Systeme
    (WInTeSys) 2017; 2017:347-358.'
  apa: Bender, A., Kaul, T., &#38; Sextro, W. (2017). Entwicklung eines Condition
    Monitoring Systems für Gummi-Metall-Elemente. In <i>Verlagsschriftenreihe des
    Heinz Nixdorf Instituts Band 369, Paderborn, 2017</i> (pp. 347–358). Wissenschaftsforum
    Intelligente Technische Systeme (WInTeSys) 2017.
  bibtex: '@inproceedings{Bender_Kaul_Sextro_2017, place={Wissenschaftsforum Intelligente
    Technische Systeme (WInTeSys) 2017}, title={Entwicklung eines Condition Monitoring
    Systems für Gummi-Metall-Elemente}, booktitle={Verlagsschriftenreihe des Heinz
    Nixdorf Instituts Band 369, Paderborn, 2017}, author={Bender, Amelie and Kaul,
    Thorben and Sextro, Walter}, year={2017}, pages={347–358} }'
  chicago: Bender, Amelie, Thorben Kaul, and Walter Sextro. “Entwicklung Eines Condition
    Monitoring Systems Für Gummi-Metall-Elemente.” In <i>Verlagsschriftenreihe Des
    Heinz Nixdorf Instituts Band 369, Paderborn, 2017</i>, 347–58. Wissenschaftsforum
    Intelligente Technische Systeme (WInTeSys) 2017, 2017.
  ieee: A. Bender, T. Kaul, and W. Sextro, “Entwicklung eines Condition Monitoring
    Systems für Gummi-Metall-Elemente,” in <i>Verlagsschriftenreihe des Heinz Nixdorf
    Instituts Band 369, Paderborn, 2017</i>, 2017, pp. 347–358.
  mla: Bender, Amelie, et al. “Entwicklung Eines Condition Monitoring Systems Für
    Gummi-Metall-Elemente.” <i>Verlagsschriftenreihe Des Heinz Nixdorf Instituts Band
    369, Paderborn, 2017</i>, 2017, pp. 347–58.
  short: 'A. Bender, T. Kaul, W. Sextro, in: Verlagsschriftenreihe Des Heinz Nixdorf
    Instituts Band 369, Paderborn, 2017, Wissenschaftsforum Intelligente Technische
    Systeme (WInTeSys) 2017, 2017, pp. 347–358.'
date_created: 2019-05-27T09:25:42Z
date_updated: 2019-09-30T08:02:40Z
department:
- _id: '151'
keyword:
- Zustandsüberwachung
- Condition Monitoring
- Prognose
- Gummi-Metall-Elemente
- Restlebensdauerschätzung
language:
- iso: eng
page: 347-358
place: Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017
publication: Verlagsschriftenreihe des Heinz Nixdorf Instituts Band 369, Paderborn,
  2017
quality_controlled: '1'
status: public
title: Entwicklung eines Condition Monitoring Systems für Gummi-Metall-Elemente
type: conference
user_id: '55222'
year: '2017'
...
---
_id: '9791'
abstract:
- lang: eng
  text: 'The rapid development of communication and information technology opens up
    fascinating perspectives, which go far beyond the state of the art in mechatronics:
    mechatronic systems with inherent partial intelligence. These so called self-optimizing
    systems adapt their objectives and behavior autonomously and flexibly to changing
    operating conditions. On the one hand, securing the dependability of such systems
    is challenging due to their complexity and non-deterministic behavior. On the
    other hand, self-optimization can be used to increase the dependability of the
    system during its operation. However, it has to be ensured, that the self-optimization
    works dependable itself. To cope with these challenges, the multi-level dependability
    concept was developed. It enables predictive condition monitoring, influences
    the objectives of the system and determines suitable means to improve the system''s
    dependability during its operation. In this contribution we introduce a procedure
    for the conceptual design of an advanced condition monitoring based on the system''s
    principle solution. The principle solution describes the principal operation mode
    of the system and its desired behavior. It is modeled using the specification
    technique for the domain-spanning description of the principle solution of a self-optimizing
    system and consists of a coherent system of eight partial models (e.g. requirements,
    active structure, system of objectives, behavior, etc.). The partial models are
    analyzed separately in order to derive the components of the multi-level dependability
    concept. In particular, the reliability analysis of the partial model active structure
    is performed to identify the system elements to be monitored and parameters to
    be measured. The principle solution is extended accordingly: e.g. with system
    elements required for the realization of the dependability concept. The advantages
    of the method are shown on the self-optimizing guidance module of a railroad vehicle.'
author:
- first_name: Christoph
  full_name: Sondermann-Wölke , Christoph
  last_name: 'Sondermann-Wölke '
- first_name: Tobias
  full_name: Meyer, Tobias
  last_name: Meyer
- first_name: Rafal
  full_name: Dorociak, Rafal
  last_name: Dorociak
- first_name: Jürgen
  full_name: Gausemeier, Jürgen
  last_name: Gausemeier
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sondermann-Wölke  C, Meyer T, Dorociak R, Gausemeier J, Sextro W. Conceptual
    Design of Advanced Condition Monitoring for a Self-Optimizing System based on
    its Principle Solution. In: <i>Proceedings of the 11th International Probabilistic
    Safety Assessment and Management Conference (PSAM11) and The Annual European Safety
    and Reliability Conference (ESREL2012)</i>. Helsinki, Finland; 2012.'
  apa: Sondermann-Wölke , C., Meyer, T., Dorociak, R., Gausemeier, J., &#38; Sextro,
    W. (2012). Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
    System based on its Principle Solution. In <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. Helsinki, Finland.
  bibtex: '@inproceedings{Sondermann-Wölke _Meyer_Dorociak_Gausemeier_Sextro_2012,
    place={Helsinki, Finland}, title={Conceptual Design of Advanced Condition Monitoring
    for a Self-Optimizing System based on its Principle Solution}, booktitle={Proceedings
    of the 11th International Probabilistic Safety Assessment and Management Conference
    (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)},
    author={Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and
    Gausemeier, Jürgen and Sextro, Walter}, year={2012} }'
  chicago: Sondermann-Wölke , Christoph, Tobias Meyer, Rafal Dorociak, Jürgen Gausemeier,
    and Walter Sextro. “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
    System Based on Its Principle Solution.” In <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. Helsinki, Finland,
    2012.
  ieee: C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, and W. Sextro,
    “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
    based on its Principle Solution,” in <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>, 2012.
  mla: Sondermann-Wölke , Christoph, et al. “Conceptual Design of Advanced Condition
    Monitoring for a Self-Optimizing System Based on Its Principle Solution.” <i>Proceedings
    of the 11th International Probabilistic Safety Assessment and Management Conference
    (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)</i>,
    2012.
  short: 'C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, W. Sextro, in:
    Proceedings of the 11th International Probabilistic Safety Assessment and Management
    Conference (PSAM11) and The Annual European Safety and Reliability Conference
    (ESREL2012), Helsinki, Finland, 2012.'
date_created: 2019-05-13T13:41:34Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
keyword:
- Mechatronic Systems
- Principle Solution
- Condition Monitoring
- Conceptual Design
language:
- iso: eng
place: Helsinki, Finland
publication: Proceedings of the 11th International Probabilistic Safety Assessment
  and Management Conference (PSAM11) and The Annual European Safety and Reliability
  Conference (ESREL2012)
quality_controlled: '1'
status: public
title: Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
  based on its Principle Solution
type: conference
user_id: '55222'
year: '2012'
...
---
_id: '9761'
abstract:
- lang: eng
  text: New mechatronic systems, called self-optimizing systems, are able to adapt
    their behavior according to environmental, user and system specific influences.
    Self-optimizing systems are complex and due to their non-deterministic behavior
    comprise hidden risks, which cannot be foreseen in the design phase of the system.
    Therefore, modifications of the ISO 17359 condition monitoring policy for being
    able to cope with this new kind of systems are presented. Besides avoiding critical
    situations evoked by self-optimization, the proposed concept uses self-optimization
    to increase the dependability of the system. This concept is applied to the active
    guidance module of an innovative rail-bound vehicle. First test drives provide
    information for the enhancement of the implementation of realtime switching to
    appropriate control strategies. The different control strategies are investigated
    in detail. It is illustrated that influences on the system like different track
    sections or the desired velocity of the RailCab effect the system and can lead
    to a higher amount of flange contacts, which indicate higher wear and thus a reduction
    of the availability of the system. Therefore, these influences should be minded
    within the condition monitoring policy. Consequently, this article presents the
    condition monitoring policy for self-optimizing function modules and its application
    to the active railway guidance module.
author:
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: Sondermann-Wölke C, Sextro W. Integration of Condition Monitoring in Self-optimizing
    Function Modules Applied to the Active Railway Guidance Module. <i>International
    Journal On Advances in Intelligent Systems</i>. 2010;3(1-3):65-74.
  apa: Sondermann-Wölke, C., &#38; Sextro, W. (2010). Integration of Condition Monitoring
    in Self-optimizing Function Modules Applied to the Active Railway Guidance Module.
    <i>International Journal On Advances in Intelligent Systems</i>, <i>3</i>(1–3),
    65–74.
  bibtex: '@article{Sondermann-Wölke_Sextro_2010, title={Integration of Condition
    Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance
    Module}, volume={3}, number={1–3}, journal={International Journal On Advances
    in Intelligent Systems}, author={Sondermann-Wölke, Christoph and Sextro, Walter},
    year={2010}, pages={65–74} }'
  chicago: 'Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition
    Monitoring in Self-Optimizing Function Modules Applied to the Active Railway Guidance
    Module.” <i>International Journal On Advances in Intelligent Systems</i> 3, no.
    1–3 (2010): 65–74.'
  ieee: C. Sondermann-Wölke and W. Sextro, “Integration of Condition Monitoring in
    Self-optimizing Function Modules Applied to the Active Railway Guidance Module,”
    <i>International Journal On Advances in Intelligent Systems</i>, vol. 3, no. 1–3,
    pp. 65–74, 2010.
  mla: Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition Monitoring
    in Self-Optimizing Function Modules Applied to the Active Railway Guidance Module.”
    <i>International Journal On Advances in Intelligent Systems</i>, vol. 3, no. 1–3,
    2010, pp. 65–74.
  short: C. Sondermann-Wölke, W. Sextro, International Journal On Advances in Intelligent
    Systems 3 (2010) 65–74.
date_created: 2019-05-13T10:27:02Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
intvolume: '         3'
issue: 1 - 3
keyword:
- dependability
- condition monitoring
- selfoptimization
- active railway guidance module
language:
- iso: eng
page: 65 - 74
publication: International Journal On Advances in Intelligent Systems
quality_controlled: '1'
status: public
title: Integration of Condition Monitoring in Self-optimizing Function Modules Applied
  to the Active Railway Guidance Module
type: journal_article
user_id: '55222'
volume: 3
year: '2010'
...
---
_id: '9742'
abstract:
- lang: eng
  text: New mechatronic systems, called self-optimizing systems, are able to adapt
    their behavior according to environmental, user and system specific influences.
    Self-optimizing systems are complex and due to their non-deterministic behavior
    comprise hidden risks, which cannot be foreseen in the design phase of the system.
    Therefore, this paper presents modifications of the current condition monitoring
    policy, to be able to cope with this new kind of systems. Beside avoiding critical
    situations evoked by self-optimization, the proposed concept uses self-optimization
    to increase the dependability of the system. In this case, the concept is applied
    to the active guidance module of an innovative rail-bound vehicle.
author:
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sondermann-Wölke C, Sextro W. Towards the Integration of Condition Monitoring
    in Self-Optimizing Function Modules. In: <i>Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:</i> ; 2009:15-20. doi:<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>'
  apa: Sondermann-Wölke, C., &#38; Sextro, W. (2009). Towards the Integration of Condition
    Monitoring in Self-Optimizing Function Modules. In <i>Future Computing, Service
    Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09.
    Computation World:</i> (pp. 15–20). <a href="https://doi.org/10.1109/ComputationWorld.2009.47">https://doi.org/10.1109/ComputationWorld.2009.47</a>
  bibtex: '@inproceedings{Sondermann-Wölke_Sextro_2009, title={Towards the Integration
    of Condition Monitoring in Self-Optimizing Function Modules}, DOI={<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>},
    booktitle={Future Computing, Service Computation, Cognitive, Adaptive, Content,
    Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:}, author={Sondermann-Wölke,
    Christoph and Sextro, Walter}, year={2009}, pages={15–20} }'
  chicago: Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration
    of Condition Monitoring in Self-Optimizing Function Modules.” In <i>Future Computing,
    Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD
    ’09. Computation World:</i>, 15–20, 2009. <a href="https://doi.org/10.1109/ComputationWorld.2009.47">https://doi.org/10.1109/ComputationWorld.2009.47</a>.
  ieee: C. Sondermann-Wölke and W. Sextro, “Towards the Integration of Condition Monitoring
    in Self-Optimizing Function Modules,” in <i>Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:</i>, 2009, pp. 15–20.
  mla: Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration of
    Condition Monitoring in Self-Optimizing Function Modules.” <i>Future Computing,
    Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD
    ’09. Computation World:</i>, 2009, pp. 15–20, doi:<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>.
  short: 'C. Sondermann-Wölke, W. Sextro, in: Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:, 2009, pp. 15–20.'
date_created: 2019-05-13T09:31:52Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/ComputationWorld.2009.47
keyword:
- condition monitoring
- mechatronic systems
- rail bound vehicle
- rail guidance module
- self-optimization
- self-optimizing function modules
- condition monitoring
- mechatronics
- railway rolling stock
- self-adjusting systems
language:
- iso: eng
page: 15 -20
publication: 'Future Computing, Service Computation, Cognitive, Adaptive, Content,
  Patterns, 2009. COMPUTATIONWORLD ''09. Computation World:'
status: public
title: Towards the Integration of Condition Monitoring in Self-Optimizing Function
  Modules
type: conference
user_id: '55222'
year: '2009'
...