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
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;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980601