Incipient fault detection in mechanical power transmission systems

Saurabh Bhatnagar, Venkatesh Rajagopalan, Asok Ray

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article numberWeA15.3
Pages (from-to)472-477
Number of pages6
JournalProceedings of the American Control Conference
Volume1
StatePublished - Sep 1 2005
Event2005 American Control Conference, ACC - Portland, OR, United States
Duration: Jun 8 2005Jun 10 2005

Fingerprint

Automata theory
Helical gears
Time series analysis
Information theory
Power transmission
Fault detection
Pattern recognition
Time series

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Incipient fault detection in mechanical power transmission systems. / Bhatnagar, Saurabh; Rajagopalan, Venkatesh; Ray, Asok.

In: Proceedings of the American Control Conference, Vol. 1, WeA15.3, 01.09.2005, p. 472-477.

Research output: Contribution to journalConference article

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