Development and realisation of changepoint analysis for the detection of emerging faults on industrial systems

Maleki, Sepehr and Bingham, Chris and Zhang, Yu (2016) Development and realisation of changepoint analysis for the detection of emerging faults on industrial systems. IEEE Transactions on Industrial Informatics, 12 (3). pp. 1180-1187. ISSN 1551-3203

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Abstract

An online 2-D changepoint detection algorithm for sensor-based fault detection, is proposed. The methodology con- sists of a differential detector which looks for characteristics across datasets at a particular instant, and a standard detector which when combined can identify anomalies and meaningful change- points while maintaining low rates of false-alarm generation. A key aspect of changepoint detection methodologies is the setting of relevant thresholds which are typically based on empirical trial and error. Here, a statistical methodology is adopted which provides the engineer with a trade-off between correct detection and false-alarm rates, thereby informing decision making at the design stage. The efficacy of the techniques is demonstrated through application to two industry case studies of fault detection on Industrial Gas Turbines, and are shown to readily provide an early warning indicator of impending failures.

Keywords:Changepoint Detection, FDI, On-line fault detection, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G310 Applied Statistics
H Engineering > H321 Turbine Technology
H Engineering > H130 Computer-Aided Engineering
Divisions:College of Science > School of Engineering
ID Code:22991
Deposited On:26 Apr 2016 11:37

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