Finally, the new method is simulated in analysis of mechanical vibration signal and is proved that this information entropy can be effective index for the recognition of system running condition.
通过对机械振动信号的仿真分析 ,该信息熵能够作为设备运行状态识别的有效依据。
Practice proves that this method reduces the failure diagnosis rate and missed diagnosis rate. The difficult problem of fault diagnosis and prediction for mechanical vibration under complex environment is solved.
实践证明该方法能降低故障误诊率和漏诊率,解决复杂环境下机械振动故障诊断和故障预报的难题。