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

^*此作品的通讯作者

Xi'an Jiaotong University

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	13-16, 20
期刊	Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
卷	33
期	4
出版状态	已出版 - 4月 1999
已对外发布	是

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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",

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T1 - Parsimonious covering theory applied for identifying power transformer malfunction

AU - Yang, Li

AU - Qian, Zheng

AU - Zhou, Yuefeng

AU - Yan, Zhang

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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

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