Detection and identification of potential faults via multi-level hypotheses testing

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The detection and identification of potential faults through multi-level hypothesis testing was presented. A recursive algorithm was formulated for the real-time detection and identification of potential faults from continuous sensor signals. The algorithm was applicable to real-time condition monitoring, early warning and fault identification in complex dynamical systems such as under-sea vehicles, advanced aircraft, spacecraft and power plants.

Original languageEnglish (US)
Pages (from-to)853-859
Number of pages7
JournalSignal Processing
Volume82
Issue number6
DOIs
StatePublished - Jun 1 2002

Fingerprint

Condition monitoring
Testing
Spacecraft
Power plants
Dynamical systems
Aircraft
Sensors

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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title = "Detection and identification of potential faults via multi-level hypotheses testing",
abstract = "The detection and identification of potential faults through multi-level hypothesis testing was presented. A recursive algorithm was formulated for the real-time detection and identification of potential faults from continuous sensor signals. The algorithm was applicable to real-time condition monitoring, early warning and fault identification in complex dynamical systems such as under-sea vehicles, advanced aircraft, spacecraft and power plants.",
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Detection and identification of potential faults via multi-level hypotheses testing. / Ray, Asok; Phoha, Shashi.

In: Signal Processing, Vol. 82, No. 6, 01.06.2002, p. 853-859.

Research output: Contribution to journalArticle

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