Kalman Filter-Based Fault Diagnosis

Zhenhua Wang; Yi Shen

doi:10.1007/978-981-19-6706-1_10

Kalman Filter-Based Fault Diagnosis

Zhenhua Wang^*
, Yi Shen

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology

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

1 Scopus citations

Abstract

This chapter introduces Kalman filter-based fault diagnosis methods for discrete-time linear stochastic systems. This chapter first considers the Kalman filter-based fault detection, including the residual generation based on the Kalman filter and the residual evaluation method based on statistic test. Second, this chapter generalizes the methodology of DOS to Kalman filter-based fault isolation. Finally, a fault estimation method based on augmented state Kalman filter is presented in this chapter.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	157-171
Number of pages	15
DOIs	https://doi.org/10.1007/978-981-19-6706-1_10
State	Published - 2023
Externally published	Yes

Publication series

Name	Studies in Systems, Decision and Control
Volume	221
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

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10.1007/978-981-19-6706-1_10

Cite this

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abstract = "This chapter introduces Kalman filter-based fault diagnosis methods for discrete-time linear stochastic systems. This chapter first considers the Kalman filter-based fault detection, including the residual generation based on the Kalman filter and the residual evaluation method based on statistic test. Second, this chapter generalizes the methodology of DOS to Kalman filter-based fault isolation. Finally, a fault estimation method based on augmented state Kalman filter is presented in this chapter.",

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AB - This chapter introduces Kalman filter-based fault diagnosis methods for discrete-time linear stochastic systems. This chapter first considers the Kalman filter-based fault detection, including the residual generation based on the Kalman filter and the residual evaluation method based on statistic test. Second, this chapter generalizes the methodology of DOS to Kalman filter-based fault isolation. Finally, a fault estimation method based on augmented state Kalman filter is presented in this chapter.

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Kalman Filter-Based Fault Diagnosis

Abstract

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