Title :
A Robust Fault Detection Strategy of Generator Units Based on EWMA Residual Filter
Author :
Chen Jun ; Yu, Yu ; Chen YongQiang
Author_Institution :
Sch. of Electr. & Electron. Eng., Hubei Univ. of Technol., Wuhan, China
Abstract :
Model-based residual directly affects the performance targets of fault detection system. An effective means of evaluating the residuals is the appropriate filter to restrain uncertain disturbances. This paper proposes a residual-based exponentially weighted moving robust fault detection strategy, and gives a EWMA (exponentially weighted moving average) robust early alarm process. Applied in water leakage fault detection of generator units, fault detection system performs well in both fast detection ability to abrupt fault and the sensitivity to the slow fault, and has good robustness.
Keywords :
fault diagnosis; filtering theory; hydroelectric generators; leak detection; power generation faults; statistical analysis; EWMA residual filter; early alarm process; exponentially weighted moving average; generator units; residual based exponentially weighted moving robust fault detection strategy; water leakage fault detection; Adaptation models; Educational institutions; Fault detection; Generators; Monitoring; Robustness; Sensitivity;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307645