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

Asok Ray; Shashi Phoha

doi:10.1016/S0165-1684(02)00160-3

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

Asok Ray
, Shashi Phoha

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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 language	English (US)
Pages (from-to)	853-859
Number of pages	7
Journal	Signal Processing
Volume	82
Issue number	6
DOIs	https://doi.org/10.1016/S0165-1684(02)00160-3
State	Published - Jun 2002

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/S0165-1684(02)00160-3

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.",

author = "Asok Ray and Shashi Phoha",

note = "Funding Information: The reported work has been supported in part by the U.S. Army Research Office under Grant No. DAAD19-01-1-0646. ",

year = "2002",

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AU - Ray, Asok

AU - Phoha, Shashi

N1 - Funding Information: The reported work has been supported in part by the U.S. Army Research Office under Grant No. DAAD19-01-1-0646.

PY - 2002/6

Y1 - 2002/6

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0036604333

UR - https://www.scopus.com/pages/publications/0036604333#tab=citedBy

U2 - 10.1016/S0165-1684(02)00160-3

DO - 10.1016/S0165-1684(02)00160-3

M3 - Article

AN - SCOPUS:0036604333

SN - 0165-1684

VL - 82

SP - 853

EP - 859

JO - Signal Processing

JF - Signal Processing

IS - 6

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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