The automatic measurement and processing of blade tip timing data is an essential part of online monitoring and intelligent ma-intenance of rotating machinery. The key is to identify vibration events quickly and accurately. A vibration events identification method based on singular value decomposition( SVD) of windowed blade tip timing data is proposed. The synchronous and asynchronous vibration events can be accurately identified by a single probe. Based on the time-delay characteristics of different blades,a"Hankel-like matrix"is constructed. The vibration events are identified by the singular value characteristics of the matrix. The simulation and experiment are car-ried out and show good consistency. The experiment data of the engine compressor show that when the vibration events occur,the first sin-gular value is increased by more than 7 times. When the asynchronous vibration events occur,the second singular value is increased by more than 14 times. It proves that the proposed method can accurately identify blade synchronization and asynchronous vibration events.
关键词
振动测量/叶尖定时/振动事件/奇异值分解/重构吸引子矩阵
Key words
vibration measurement/blade tip timing/vibration events/singular value decomposition( SVD)/hankel matrix
维普
万方数据