DocumentCode
2189255
Title
Detection and identification of emerging faults via hypotheses testing
Author
Ray, Asok ; Phoha, Shashi
Author_Institution
Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume
3
fYear
2001
fDate
2001
Firstpage
2295
Abstract
Multi-level hypotheses testing provides a more precise characterization of emerging faults than the bi-level fail/no-fail hypothesis, and is often essential for early warning and timely detection and identification of soft failures in degrading devices. This paper formulates recursive relations for testing multi-level hypotheses for real-time detection and identification of emerging faults from uncertain continuous sensor signals
Keywords
fault diagnosis; identification; large-scale systems; probability; real-time systems; complex dynamical systems; emerging fault detection; identification; multilevel hypotheses testing; probability; real-time systems; sensor signals; Bismuth; Degradation; Fault detection; Fault diagnosis; Mechanical engineering; Mechanical sensors; Real time systems; Sensor phenomena and characterization; Signal processing; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980601
Filename
980601
Link To Document