UM
Actuator fault detection and isolation based on multiple-model adaptive estimation (MMAE)
Monteiro D.1; Rosa P.2; Oliveira P.1; Silvestre C.3
2017
Source PublicationLecture Notes in Electrical Engineering
Volume402
Pages345-357
AbstractThis paper proposes the application of Multiple-Model Adaptive Estimation (MMAE) to the detection and isolation of a broad category of actuator faults. An in-depth study on this methodology is provided, including the study of the asymptotic properties of the model probability signals for a non-discrete uncertainty domain. The design of the bank of filters is tackled by a performance-based design algorithm originally developed for the bi-dimensional additive faultmodel considered. Simulations are performed using a generic linearized model, enabling the validation of the methodology, and confirming the potentialities of the method for both fault diagnosis and estimation under model uncertainty.
KeywordInfinite model adaptive estimation performance Model-based fault detection and isolation Multiple-model adaptive estimation
DOI10.1007/978-3-319-43671-5_30
URLView the original
Language英語
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Instituto Superior Técnico
2.DEIMOS Engenharia SA
3.Universidade de Macau
Recommended Citation
GB/T 7714
Monteiro D.,Rosa P.,Oliveira P.,et al. Actuator fault detection and isolation based on multiple-model adaptive estimation (MMAE)[C],2017:345-357.
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