A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation

Selecting residual generators for detecting and isolating faults in a system is an important step when designing model-based diagnosis systems. However, finding a suitable set of residual generators to fulfill performance requirements is complicated by model uncertainties and measurement noise that...

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Vydané v:	IEEE transactions on control systems technology Ročník 27; číslo 2; s. 616 - 630
Hlavní autori:	Jung, Daniel, Sundstrom, Christofer
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Automotive applications change detection algorithms Computational modeling Data models Engines Fault detection Fault diagnosis Generators Internal combustion engines machine learning Mathematical model Noise measurement Systems design
ISSN:	1063-6536, 1558-0865, 1558-0865
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