Particle filter-based method for prognostics with application to auxiliary power unit

Chunsheng Yang; Qingfeng Lou; Jie Liu; Yubin Yang; Yun Bai

doi:10.1007/978-3-319-07455-9-21

Particle filter-based method for prognostics with application to auxiliary power unit

Chunsheng Yang, Qingfeng Lou, Jie Liu, Yubin Yang, Yun Bai

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

15 Citations (Scopus)

Abstract

![CDATA[Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem.]]

Original language	English
Title of host publication	Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014
Publisher	Springer
Pages	198-207
Number of pages	10
ISBN (Print)	9783319074542
DOIs	https://doi.org/10.1007/978-3-319-07455-9-21
Publication status	Published - 2014
Event	International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems - Duration: 3 Jun 2014 → …

Publication series

Name
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems
Period	3/06/14 → …

Keywords

auxiliary power units
filters and filtration
particles
prognostics

Access to Document

10.1007/978-3-319-07455-9-21

Cite this

Yang, C., Lou, Q., Liu, J., Yang, Y., & Bai, Y. (2014). Particle filter-based method for prognostics with application to auxiliary power unit. In Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014 (pp. 198-207). Springer. https://doi.org/10.1007/978-3-319-07455-9-21

Yang, Chunsheng ; Lou, Qingfeng ; Liu, Jie et al. / Particle filter-based method for prognostics with application to auxiliary power unit. Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014. Springer, 2014. pp. 198-207

@inproceedings{90e2c6c2d1274c968a1bf74952e3dfb0,

title = "Particle filter-based method for prognostics with application to auxiliary power unit",

abstract = "![CDATA[Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem.]]",

keywords = "auxiliary power units, filters and filtration, particles, prognostics",

author = "Chunsheng Yang and Qingfeng Lou and Jie Liu and Yubin Yang and Yun Bai",

year = "2014",

doi = "10.1007/978-3-319-07455-9-21",

language = "English",

isbn = "9783319074542",

publisher = "Springer",

pages = "198--207",

booktitle = "Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014",

note = "International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems ; Conference date: 03-06-2014",

}

Yang, C, Lou, Q, Liu, J, Yang, Y & Bai, Y 2014, Particle filter-based method for prognostics with application to auxiliary power unit. in Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014. Springer, pp. 198-207, International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, 3/06/14. https://doi.org/10.1007/978-3-319-07455-9-21

Particle filter-based method for prognostics with application to auxiliary power unit. / Yang, Chunsheng; Lou, Qingfeng; Liu, Jie et al.
Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014. Springer, 2014. p. 198-207.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Particle filter-based method for prognostics with application to auxiliary power unit

AU - Yang, Chunsheng

AU - Lou, Qingfeng

AU - Liu, Jie

AU - Yang, Yubin

AU - Bai, Yun

PY - 2014

Y1 - 2014

N2 - ![CDATA[Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem.]]

AB - ![CDATA[Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem.]]

KW - auxiliary power units

KW - filters and filtration

KW - particles

KW - prognostics

UR - http://handle.uws.edu.au:8081/1959.7/uws:29049

UR - http://bit.kuas.edu.tw/~ieaaie14/

U2 - 10.1007/978-3-319-07455-9-21

DO - 10.1007/978-3-319-07455-9-21

M3 - Conference Paper

SN - 9783319074542

SP - 198

EP - 207

BT - Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014

PB - Springer

T2 - International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems

Y2 - 3 June 2014

ER -

Yang C, Lou Q, Liu J, Yang Y, Bai Y. Particle filter-based method for prognostics with application to auxiliary power unit. In Modern Advances in Applied Intelligence: Proceedings of the 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014. Springer. 2014. p. 198-207 doi: 10.1007/978-3-319-07455-9-21

Particle filter-based method for prognostics with application to auxiliary power unit

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