Vibration monitoring and fault pre-warning method for large axial compressor blades without OPR sensor
WANG Weimin1,2, ZHANG Xulong1, CHEN Kang2, HU Dongfang1, LI Weibo2
1.Key Lab of Engine Health Monitoring-Control and Networking, Beijing University of Chemical Technology Beijing 100029, China;
2.Beijing Key Laboratory of Health Monitoring Control and Fault Self-recovery for High-end Machinery， Beijing University of Chemical Technology, Beijing 100029, China
Abstract：During operation of a compressor, its blades bear complex alternating loads, they are easy to produce high-cycle fatigue faults.Here, in order to solve problem of the once per revolution (OPR) sensor being difficult to install using the blade tip timing (BTT) method in blade vibration monitoring process similar to aero-engine and other equipment without OPR one or the OPR’s reference is incorrect, a blade vibration monitoring method without OPR based on blade detuning characteristics was proposed.Then, its algorithm was improved to propose a monitoring method without OPR for tunable blades.The proposed method was verified through simulation.Tests were conducted on a large axial compressor, and test data were analyzed with the method with OPR and that without OPR, respectively to complete identification of blades’ synchronous vibration parameters.The analysis results showed that the proposed method can be used to identify blade synchronous vibration parameters correctly; the relative error of blade resonance frequency identification is less than 0.06%; the proposed method is effective and feasible in vibration monitoring and fault pre-warning for large axial compressor blades.
王维民1,2,张旭龙1,陈康2,户东方1,李维博2. 大型轴流压气机叶片无键相振动监测与故障预警方法[J]. 振动与冲击, 2019, 38(23): 54-61.
WANG Weimin1,2, ZHANG Xulong1, CHEN Kang2, HU Dongfang1, LI Weibo2. Vibration monitoring and fault pre-warning method for large axial compressor blades without OPR sensor. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(23): 54-61.
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