@inproceedings{9736,
  abstract     = {{Self-optimizing mechatronic systems are a new class of technical systems. On the one hand, new challenges regarding dependability arise from their additional complexity and adaptivity. On the other hand, their abilities enable new concepts and methods to improve the dependability of mechatronic systems. This paper introduces a multi-level dependability concept for self-optimizing mechatronic systems and shows how planning can be used to improve the availability and reliability of systems in the operating stages.}},
  author       = {{Klöpper, Benjamin and Sondermann-Wölke, Christoph and Romaus, Christoph and Vöcking, Henner}},
  booktitle    = {{Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on}},
  keywords     = {{multilevel dependability concept, probabilistic planning, self-optimizing mechatronic systems, systems reliability, mechatronics, planning (artificial intelligence), self-adjusting systems}},
  pages        = {{104 --111}},
  title        = {{{Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems}}},
  doi          = {{10.1109/CICA.2009.4982790}},
  year         = {{2009}},
}

@inproceedings{9742,
  abstract     = {{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       = {{Sondermann-Wölke, Christoph and Sextro, Walter}},
  booktitle    = {{Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:}},
  keywords     = {{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}},
  pages        = {{15 --20}},
  title        = {{{Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules}}},
  doi          = {{10.1109/ComputationWorld.2009.47}},
  year         = {{2009}},
}

@inproceedings{9568,
  abstract     = {{A simple pre-stress estimate method of Langevin transducers is studied. The measurement setup consists of a capacitor, an impedance converter and a voltmeter. Based on the piezoelectric equation and the basic circuit theory, the mathematical expression between the pre-stress and the voltage across the capacitor is derived. The pre-stress level can then be calculated out of the measurement of the capacitor voltage. In order to evaluate the precision of this method, a force washer is used to measure the pre-stress of the Langevin transducer. The result shows the pre-stress level obtained from this method is 30-40\% higher than the pre-stress level measured by the force washer. This method is simple and can be used to estimate the pre-stress of various Langevin transducers. The precision of this method can be raised if d33 is identified under different pre-stress levels.}},
  author       = {{Bo, Fu and Ting, Li and Hemsel, Tobias}},
  booktitle    = {{Piezoelectricity, Acoustic Waves, and Device Applications, 2008. SPAWDA 2008. Symposium on}},
  keywords     = {{capacitors, impedance convertors, piezoelectric transducers, stress analysis, Langevin transducers, basic circuit theory, capacitor, impedance converter, piezoelectric equation, pre-stress estimating method, voltmeter, Capacitors, Educational institutions, Equations, Force measurement, Impedance measurement, Manufacturing, Mechatronics, Piezoelectric transducers, Voltage, Voltmeters, Langevin transducer, capacitor, piezoelectric element, pre-stress}},
  pages        = {{324--327}},
  title        = {{{A simple pre-stress estimating method of langevin transducers}}},
  doi          = {{10.1109/SPAWDA.2008.4775801}},
  year         = {{2008}},
}

@inproceedings{9519,
  abstract     = {{Several positioning tasks demand translatory drive instead of rotary motion. To achieve drives that are capable e.g. to drive the sunroof of a car or to lift a car's window, multiple miniaturized motors can be combined. But in this case many other questions arise: the electromechanical behavior of the individual motors differs slightly, the motor characteristics are strongly dependent on the driving parameters and the driven load, many applications need some extra power for special cases like overcoming higher forces periodically. Thus, the bundle of motors has to act well organized and controlled to get an optimized drive that is not oversized and costly.}},
  author       = {{Hemsel, Tobias and Mracek, Maik and Wallaschek, Jörg and Vasiljev, Piotr}},
  booktitle    = {{Ultrasonics Symposium, 2004 IEEE}},
  issn         = {{1051-0117}},
  keywords     = {{drives, electromechanical effects, linear motors, ultrasonic motors, car sunroof, car window, electromechanical behavior, high power ultrasonic linear motors, multiple miniaturized motors, positioning tasks, translatory drive, Costs, Electromagnetic forces, Frequency, Laboratories, Manufacturing, Mechatronics, Micromotors, Ultrasonic imaging, Vibrations, Voltage}},
  number       = {{Vol.2}},
  pages        = {{1161--1164}},
  title        = {{{A novel approach for high power ultrasonic linear motors}}},
  doi          = {{10.1109/ULTSYM.2004.1417988}},
  volume       = {{2}},
  year         = {{2004}},
}