Incipient fault detection in mechanical power transmission systems

被引：2

作者：

Bhatnagar, S ^{[1
]}

Rajagopalan, V ^{[1
]}

Ray, A ^{[1
]}

机构：

[1] Penn State Univ, University Pk, PA 16802 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.2005.1469980

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel method for anomaly detection in a helical gear box, where the objective is to predict incipient faults before they become catastrophic. The anomaly detection algorithm relies on symbolic time series analysis and is built upon concepts from automata theory, information theory, and pattern recognition. Early detection of slow time-scale anomalous behavior is achieved by observing time series data at the fast time-scale of machine operation.

引用

页码：472 / 477

页数：6

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