摘要
首先给出了谐波小波时频剖面图检测含噪声信号的微弱奇异成分的方法;然后运用谐波小波时频剖面图方法分析了碰摩故障仿真信号;最后利用该方法对多个实际汽轮机组动静碰摩故障的真实振动信号进行了分析研究。结果表明,谐波小波能够得到其它信号分析方法无法得到的特征,有效识别机组的碰摩故障。
Harmonic wavelet time-frequency profile plot （TFPP） is introduced firstly in practice to identify weak singularity in a signal with noise clearly. With TFPP method, emulational signal and vibration data of the rubbing of the large practical turbo - generator units are analyzed successfully, which prove that the method is effectively extract the rubbing signal feature which is can not gained by the other signal analysis methods, and the rubbing of the turbine - generator units is identifled effectively.
出处
《汽轮机技术》
北大核心
2006年第6期433-436,461,共5页
Turbine Technology
关键词
谐波小波
汽轮机组
碰摩故障诊断
harmonic wavelet
steam turbine-generator units
fault diagnosis for rubbing
