Abstract
Sequential Monte Carlo (SMC) or particle filtering (PF) has demonstrated effectiveness in non-linear and non-Gaussian system estimation, due to its unique approach for posterior probability density function estimation. However, classical PF techniques suffer from particle degeneracy and sample impoverishment. This paper proposes a new scheme for joint state and parameter estimation, based on the sequential importance resampling (SIR) particle filter. First, a local search strategy is proposed as a resampling strategy to overcome particle impoverishment. Second, a switching multiple modes filter is adopted to handle sudden changes of parameters in the state evolution model due to faults, which cannot be processed by conventional PF that assumes gradual parameter variations over a long period. The proposed estimation method is applied to degradation and remaining useful life (RUL) prediction of dynamic systems, such as heat exchanger in the heating, ventilation and air conditioning (HVAC) systems. Both natural and transient degradations are evaluated, while parameters dominating the degradation models are assumed to change before and after transient decay. The developed method is evaluated using simulation data, and results demonstrate the effectiveness of proposed method in state estimation and degradation prediction in heat exchanger.
Original language | English |
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Title of host publication | 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow |
Subtitle of host publication | Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings |
Pages | 539-544 |
Number of pages | 6 |
ISBN (Electronic) | 9781479961139 |
DOIs | |
State | Published - Jul 6 2015 |
Event | 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 - Pisa, Italy Duration: May 11 2015 → May 14 2015 |
Publication series
Name | Conference Record - IEEE Instrumentation and Measurement Technology Conference |
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Volume | 2015-July |
ISSN (Print) | 1091-5281 |
Conference
Conference | 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 |
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Country/Territory | Italy |
City | Pisa |
Period | 5/11/15 → 5/14/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Degradation prediction
- Heat exchanger
- Particle filtering (PF)
- Switching multiple modes
ASJC Scopus subject areas
- Instrumentation