Gas turbine engine fault diagnosis based on conditions of rulebased and fault tree

SHANG Wen, WANG Weimin, QI Pengyi, CUI Jin, ZENG Yongkui

（Diagnosis & SelfRecovery Engineering Research Center, Beijing University of
Chemical Technology, Beijing 100029, China）

Abstract: Aiming at all kinds of the gas turbine fault diagnosis problems,a comprehensive technology of the rulebased and fault tree method was investigated in the gas turbine fault diagnosis research.On the base of the established fault tree of gas turbine, the typical fault cases and maintenance experience were summarized, the based on condition the rules of logic reasoning model was established, the fault analysis principle of gas turbine based on signal processing was utilized,the certain conditions rules were increased in the middle of the fault tree events and bottom events, the physical and logical judge were judged to determine the fault tree on each branch diagnosis choice, thus every step of the fault diagnosis analysis were clear, the accurate fault causes and failure parts were concluded in the end. For the gas turbine generating unit rotor vibration fault example of an offshore oil operation area , the rapid and accurate the root causes were analyzed by the based on rules conditiongs of fault tree method on the foundation of online monitoring, The results indicate that the method is convenient in maintenance and technical staff to grasp, it can be widely used in gas turbine generating unit reliability maintenance field.

Key words: gas turbine generating set; conditions of rulebased; failures tree method; vibration fault; reliability maintenance