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http://dx.doi.org/10.5391/JKIIS.2016.26.3.246

Fault Detection Method for Steam Boiler Tube Using Mahalanobis Distance  

Yu, Jungwon (Department of Electrical and Computer Engineering, Pusan National University)
Jang, Jaeyel (Korea East-West Power Co., Ltd.)
Yoo, Jaeyeong (XEONET Co., Ltd.)
Kim, Sungshin (Department of Electrical and Computer Engineering, Pusan National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.3, 2016 , pp. 246-252 More about this Journal
Abstract
Since thermal power plant (TPP) equipment is operated under very high pressure and temperature, failures of the equipment give rise to severe losses of life and property. To prevent the losses, fault detection method is, therefore, absolutely necessary to identify abnormal operating conditions of the equipment in advance. In this paper, we present Mahalanobis distance (MD) based fault detection method for steam boiler tube in TPP. In the MD-based method, it is supposed that abnormal data samples are far away from normal samples. Using multivariate samples collected from normal target system, mean vector and covariance matrix are calculated and threshold value of MD is decided. In a test phase, after calculating the MDs between the mean vector and test samples, alarm signals occur if the MDs exceed the predefined threshold. To demonstrate the performance, a failure case due to boiler tube leakage in 200MW TPP is employed. The experimental results show that the presented method can perform early detection of boiler tube leakage successfully.
Keywords
Steam boiler tube; Mahalanobis distance; Fault detection;
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Times Cited By KSCI : 3  (Citation Analysis)
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