Decision functions for electric power system signals

J. L. Kohler; F. C. Trutt; L. A. Morley

doi:10.1016/0378-7796(86)90031-3

Decision functions for electric power system signals

J. L. Kohler
, F. C. Trutt
, L. A. Morley

John and Willie Leone Department of Energy & Mineral Engineering (EME)

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

5 Scopus citations

Abstract

An investigation of electric power system component deterioration has led to the development of a mathematical procedure which can be used to predict incipient failure or assess the integrity of individual components while they are operating in the power system.

Original language	English (US)
Pages (from-to)	167-169
Number of pages	3
Journal	Electric Power Systems Research
Volume	11
Issue number	2
DOIs	https://doi.org/10.1016/0378-7796(86)90031-3
State	Published - Oct 1986

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/0378-7796(86)90031-3

Cite this

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title = "Decision functions for electric power system signals",

abstract = "An investigation of electric power system component deterioration has led to the development of a mathematical procedure which can be used to predict incipient failure or assess the integrity of individual components while they are operating in the power system.",

author = "Kohler, \{J. L.\} and Trutt, \{F. C.\} and Morley, \{L. A.\}",

year = "1986",

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journal = "Electric Power Systems Research",

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T1 - Decision functions for electric power system signals

AU - Kohler, J. L.

AU - Trutt, F. C.

AU - Morley, L. A.

PY - 1986/10

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N2 - An investigation of electric power system component deterioration has led to the development of a mathematical procedure which can be used to predict incipient failure or assess the integrity of individual components while they are operating in the power system.

AB - An investigation of electric power system component deterioration has led to the development of a mathematical procedure which can be used to predict incipient failure or assess the integrity of individual components while they are operating in the power system.

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U2 - 10.1016/0378-7796(86)90031-3

DO - 10.1016/0378-7796(86)90031-3

M3 - Article

AN - SCOPUS:0022796941

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SP - 167

EP - 169

JO - Electric Power Systems Research

JF - Electric Power Systems Research

IS - 2

ER -

Decision functions for electric power system signals

Abstract

All Science Journal Classification (ASJC) codes

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