Fault Detection using DPCA-based Control Charts
Volume 4, Number 2, April 2008 - Paper 7 - pp. 183 - 192
JIANMOU WU and VILIAM MAKIS
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada M5S 3G8
(Received on May 24, 2007)
In this paper, Hotelling’s T2 chart and the DPCA(Dynamic PCA)-based TA2
and Q charts are applied to real oil data histories obtained from condition monitoring of
heavy hauler truck transmissions. The objective is to evaluate the impending failure
detection capability and the false alarm rate of the control charts in a CBM (conditionbased
maintenance) application. When applied to failure histories, both T2 and Q
charts were able to correctly identify the impending failures in more than 50% cases, but
the number of false alarms was considerably higher for the T2 chart.
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