Detection and identification of emerging faults via hypotheses testing

Asok Ray; Shashi Phoha

Detection and identification of emerging faults via hypotheses testing

Asok Ray
, Shashi Phoha

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English (US)
Pages (from-to)	2295-2296
Number of pages	2
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
State	Published - Dec 1 2001
Event	40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States Duration: Dec 4 2001 → Dec 7 2001

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Cite this

@article{b877e3d692cd4b45a9105b384e380da2,

title = "Detection and identification of emerging faults via hypotheses testing",

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.",

author = "Asok Ray and Shashi Phoha",

year = "2001",

month = dec,

day = "1",

language = "English (US)",

volume = "3",

pages = "2295--2296",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "40th IEEE Conference on Decision and Control (CDC) ; Conference date: 04-12-2001 Through 07-12-2001",

}

TY - JOUR

T1 - Detection and identification of emerging faults via hypotheses testing

AU - Ray, Asok

AU - Phoha, Shashi

PY - 2001/12/1

Y1 - 2001/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0035712783

UR - https://www.scopus.com/pages/publications/0035712783#tab=citedBy

M3 - Conference article

AN - SCOPUS:0035712783

SN - 0191-2216

VL - 3

SP - 2295

EP - 2296

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - 40th IEEE Conference on Decision and Control (CDC)

Y2 - 4 December 2001 through 7 December 2001

ER -

Detection and identification of emerging faults via hypotheses testing

Abstract

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this