Detection and identification of emerging faults via hypotheses testing

Asok Ray, Shashi Phoha

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Recursive relations for testing multi-level hypotheses for real-time detection and identification of emerging faults from uncertain continuous sensor signals was formulated. A multi-level hypotheses testing provided a precise characterization of emerging faults. The testing was proved essential for early warning and timely detection and identification of soft failures in degrading devices. A recursive relation for a posteriori probability of occurrence of any of the abnormal events was derived.

Original languageEnglish (US)
Pages (from-to)2295-2296
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
StatePublished - Dec 1 2001
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: Dec 4 2001Dec 7 2001

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Detection and identification of emerging faults via hypotheses testing'. Together they form a unique fingerprint.

Cite this