A Survey of Multivariate Statistical Methods for Fault Diagnosis

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (8): 205-208.

• 工程与应用 • Previous Articles Next Articles

A Survey of Multivariate Statistical Methods for Fault Diagnosis

ChunMei Yu ShengBo Yang HongCai Zhang

Received:2006-04-06 Revised:1900-01-01 Online:2007-03-11 Published:2007-03-11
Contact: ChunMei Yu

多元统计方法在故障诊断中的应用综述

于春梅杨胜波陈馨张洪才

西南科技大学信息工程学院；西北工业大学自动化学院西北工业大学自动控制系

通讯作者: 于春梅

Abstract

Abstract: This paper summarizes general approaches for fault diagnosis, emphasis is on the applications of multivariate statistical methods for fault diagnosis. General methods are not good at solving nonlinear, time-variant, dynamic, fault isolation and identification problems, different solutions and developments for these problems are reviewed. Furthermore，the future direction of these techniques is indicated．

Key words: multivariate statistic, fault diagnosis, principal component analysis

摘要： 在对常用故障诊断方法进行简单介绍的基础上，着重对多元统计方法在故障诊断领域的应用进行综述。针对常规方法在解决非线性、时变动态、故障隔离和辨识等问题的缺陷，总结了不同学者解决这些问题的最新进展。文章最后给出了多元统计方法在工业过程故障诊断领域可能的发展方向。

关键词: 多元统计, 故障诊断, 主元分析

ChunMei Yu ShengBo Yang HongCai Zhang. A Survey of Multivariate Statistical Methods for Fault Diagnosis[J]. Computer Engineering and Applications, 2007, 43(8): 205-208.

于春梅杨胜波陈馨张洪才. 多元统计方法在故障诊断中的应用综述[J]. 计算机工程与应用, 2007, 43(8): 205-208.

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A Survey of Multivariate Statistical Methods for Fault Diagnosis

多元统计方法在故障诊断中的应用综述

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