摘要
研究汽轮机转子故障有效识别问题。针对汽轮机转子工作过程中受热不均导致转子弯曲,引起质量分布的不平衡,造成不平衡引起故障震动信号发生波动,传统的震动信号监测方法在故障信号发生波动的情况下,很难准确的检测故障,提出一种利用小波包能量谱的汽轮机转子的故障识别算法。运用汽轮机转子振动信号的总能量以及不同的频带所对应的能量占总能量的比例的计算结果获得了汽轮机转子的故障类型,排除由于故障信号形变造成的干扰。最后,针对200MW发电机组的汽轮机转子进行了故障诊断,研究结果表明,利用小波包能量谱能够较为准确地获得汽轮机转子的故障类型。
The paper proposed a turbine rotor fault identification algorithm based on wavelet packet energy spectrum. Using the calculation results of the total energy of turbine rotor vibration signals and the proportion of different frequency bands corresponding to the energy in total energy,the turbine rotor fault types were obtained,and the interference caused by the deformation of the fault signals was excluded.The simulation result shows that the algorithm can identify turbine rotor fault types more accurately.
出处
《计算机仿真》
CSCD
北大核心
2013年第7期133-136,共4页
Computer Simulation
关键词
小波包能量谱
汽轮机转子
故障识别
Wavelet package energy spectra
Turbine rotor
Fault identification
