Diagnosis of Equipment Failures by Pattern Recognition

L. F. Pau

doi:10.1109/TR.1974.5215245

Diagnosis of Equipment Failures by Pattern Recognition

L. F. Pau

Department of Electrical Engineering

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Abstract

The main problems in relation to automatic fault finding and diagnosis in equipments or production systems are discussed: 1) compression of the syndrome and observation spaces for better discrimination between failure modes; 2) simultaneous display of the failure patterns and the failure instants, for maintenance control and review of the reliability design; 3) automatic production of a final set of diagnosis assumptions classified according to their probabilities. 4) sequencing of the inspections in accordance with the failure rates and inspection costs.

Original language	English
Journal	I E E E Transactions on Reliability
Volume	R-23
Issue number	3
Pages (from-to)	202-208
ISSN	0018-9529
DOIs	https://doi.org/10.1109/TR.1974.5215245
Publication status	Published - 1974

Bibliographical note

Copyright: 1974 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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10.1109/TR.1974.5215245

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abstract = "The main problems in relation to automatic fault finding and diagnosis in equipments or production systems are discussed: 1) compression of the syndrome and observation spaces for better discrimination between failure modes; 2) simultaneous display of the failure patterns and the failure instants, for maintenance control and review of the reliability design; 3) automatic production of a final set of diagnosis assumptions classified according to their probabilities. 4) sequencing of the inspections in accordance with the failure rates and inspection costs.",

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note = "Copyright: 1974 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE",

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doi = "10.1109/TR.1974.5215245",

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volume = "R-23",

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N1 - Copyright: 1974 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 1974

Y1 - 1974

N2 - The main problems in relation to automatic fault finding and diagnosis in equipments or production systems are discussed: 1) compression of the syndrome and observation spaces for better discrimination between failure modes; 2) simultaneous display of the failure patterns and the failure instants, for maintenance control and review of the reliability design; 3) automatic production of a final set of diagnosis assumptions classified according to their probabilities. 4) sequencing of the inspections in accordance with the failure rates and inspection costs.

AB - The main problems in relation to automatic fault finding and diagnosis in equipments or production systems are discussed: 1) compression of the syndrome and observation spaces for better discrimination between failure modes; 2) simultaneous display of the failure patterns and the failure instants, for maintenance control and review of the reliability design; 3) automatic production of a final set of diagnosis assumptions classified according to their probabilities. 4) sequencing of the inspections in accordance with the failure rates and inspection costs.

U2 - 10.1109/TR.1974.5215245

DO - 10.1109/TR.1974.5215245

M3 - Journal article

VL - R-23

SP - 202

EP - 208

JO - I E E E Transactions on Reliability

JF - I E E E Transactions on Reliability

SN - 0018-9529

IS - 3

ER -

Diagnosis of Equipment Failures by Pattern Recognition

Abstract

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