Information theoretic fault detection

被引：7

作者：

Joshi, A ^{[1
]}

Deignan, P ^{[1
]}

Meckl, P ^{[1
]}

King, G ^{[1
]}

Jennings, K ^{[1
]}

机构：

[1] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA

来源：

ACC: Proceedings of the 2005 American Control Conference, Vols 1-7 | 2005年

关键词：

D O I：

10.1109/ACC.2005.1470203

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we propose a novel method of fault detection based on a clustering algorithm developed in the information theoretic framework. A mathematical formulation for a multi-input multi-output (MIMO) system is developed to identify the most informative signals for the fault detection using mutual information (MI) as the measure of correlation among various measurements on the system. This is a model-independent approach for the fault detection. The effectiveness of the proposed method is successfully demonstrated by employing MI-based algorithm to isolate various faults in 16-cylinder diesel engine in the form of distinct clusters.

引用

页码：1642 / 1647

页数：6

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