---
_id: '9947'
abstract:
- lang: eng
  text: This paper presents a comparison of a number of prognostic methods with regard
    to algorithm complexity and performance based on prognostic metrics. This information
    serves as a guide for selection and design of prognostic systems for real-time
    condition monitoring of technical systems. The methods are evaluated on ability
    to estimate the remaining useful life of rolling element bearing. Run-to failure
    vibration and temperature data is used in the analysis. The sampled prognostic
    methods include wear-temperature correlation method, health state estimation using
    temperature measurement, a multi-model particle filter approach with model parameter
    adaptation utilizing temperature measurements, prognostics through health state
    estimation and mapping extracted features to the remaining useful life through
    regression approach. Although the performance of the methods utilizing the vibration
    measurements is much better than the methods using temperature measurements, the
    methods using temperature measurements are quite promising in terms of reducing
    the overall cost of the condition monitoring system as well as the computational
    time. An ensemble of the presented methods through weighted average is also introduced.
    The results show that the methods are able to estimate the remaining useful life
    within error bounds of +-15\%, which can be further reduced to +-5\% with the
    ensemble approach.
author:
- first_name: James Kuria
  full_name: Kimotho, James Kuria
  last_name: Kimotho
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Kimotho JK, Sextro W. Comparison and ensemble of temperature-based and vibration-based
    methods for machinery prognostics. In: <i>Annual Conference of the Prognostics
    and Health Management Society 2015</i>. Vol 6. ; 2015.'
  apa: Kimotho, J. K., &#38; Sextro, W. (2015). Comparison and ensemble of temperature-based
    and vibration-based methods for machinery prognostics. In <i>Annual Conference
    of the Prognostics and Health Management Society 2015</i> (Vol. 6).
  bibtex: '@inproceedings{Kimotho_Sextro_2015, title={Comparison and ensemble of temperature-based
    and vibration-based methods for machinery prognostics}, volume={6}, booktitle={Annual
    Conference of the Prognostics and Health Management Society 2015}, author={Kimotho,
    James Kuria and Sextro, Walter}, year={2015} }'
  chicago: Kimotho, James Kuria, and Walter Sextro. “Comparison and Ensemble of Temperature-Based
    and Vibration-Based Methods for Machinery Prognostics.” In <i>Annual Conference
    of the Prognostics and Health Management Society 2015</i>, Vol. 6, 2015.
  ieee: J. K. Kimotho and W. Sextro, “Comparison and ensemble of temperature-based
    and vibration-based methods for machinery prognostics,” in <i>Annual Conference
    of the Prognostics and Health Management Society 2015</i>, 2015, vol. 6.
  mla: Kimotho, James Kuria, and Walter Sextro. “Comparison and Ensemble of Temperature-Based
    and Vibration-Based Methods for Machinery Prognostics.” <i>Annual Conference of
    the Prognostics and Health Management Society 2015</i>, vol. 6, 2015.
  short: 'J.K. Kimotho, W. Sextro, in: Annual Conference of the Prognostics and Health
    Management Society 2015, 2015.'
date_created: 2019-05-27T08:24:50Z
date_updated: 2019-05-27T08:25:44Z
department:
- _id: '151'
intvolume: '         6'
keyword:
- ensemble methods
- combined prognostics
- data fusion
language:
- iso: eng
publication: Annual Conference of the Prognostics and Health Management Society 2015
status: public
title: Comparison and ensemble of temperature-based and vibration-based methods for
  machinery prognostics
type: conference
user_id: '55222'
volume: 6
year: '2015'
...