Parsimonious covering theory applied for identifying power transformer malfunction

Li Yang; Zheng Qian; Yuefeng Zhou; Zhang Yan

Parsimonious covering theory applied for identifying power transformer malfunction

Li Yang^*
, Zheng Qian
, Yuefeng Zhou
, Zhang Yan

^*Corresponding author for this work

Xi'an Jiaotong University

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

4 Scopus citations

Abstract

The parsimonious covering theory integrated with probability is applied to analyze power transformer malfunction. Diagnostic inference based on it is known to prevail for multi-symptom and multi-fault system. The purposed model improves the reliability and practicality by adopting statistical data and considering the incompleteness of symptom.

Original language	English
Pages (from-to)	13-16, 20
Journal	Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume	33
Issue number	4
State	Published - Apr 1999
Externally published	Yes

Cite this

@article{58dbaf210e3447aa85a2acd804553172,

title = "Parsimonious covering theory applied for identifying power transformer malfunction",

abstract = "The parsimonious covering theory integrated with probability is applied to analyze power transformer malfunction. Diagnostic inference based on it is known to prevail for multi-symptom and multi-fault system. The purposed model improves the reliability and practicality by adopting statistical data and considering the incompleteness of symptom.",

author = "Li Yang and Zheng Qian and Yuefeng Zhou and Zhang Yan",

year = "1999",

month = apr,

language = "英语",

volume = "33",

pages = "13--16, 20",

journal = "Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University",

issn = "0253-987X",

publisher = "Xi'an Jiaotong University",

number = "4",

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TY - JOUR

T1 - Parsimonious covering theory applied for identifying power transformer malfunction

AU - Yang, Li

AU - Qian, Zheng

AU - Zhou, Yuefeng

AU - Yan, Zhang

PY - 1999/4

Y1 - 1999/4

N2 - The parsimonious covering theory integrated with probability is applied to analyze power transformer malfunction. Diagnostic inference based on it is known to prevail for multi-symptom and multi-fault system. The purposed model improves the reliability and practicality by adopting statistical data and considering the incompleteness of symptom.

AB - The parsimonious covering theory integrated with probability is applied to analyze power transformer malfunction. Diagnostic inference based on it is known to prevail for multi-symptom and multi-fault system. The purposed model improves the reliability and practicality by adopting statistical data and considering the incompleteness of symptom.

UR - https://www.scopus.com/pages/publications/0033108587

M3 - 文章

AN - SCOPUS:0033108587

SN - 0253-987X

VL - 33

SP - 13-16, 20

JO - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

JF - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

IS - 4

ER -

Parsimonious covering theory applied for identifying power transformer malfunction

Abstract

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