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齿轮传动是机械设备中最常用的传动方式,在生产中因齿轮故障而酿成的设备事故时有发生,特别是石油化工等行业中连续运转的大型机组,一旦出现传动部件的故障,常常会造成突然停机事故的发生,给企业造成很大的经济损失。因此齿轮运行状态的监测和诊断,对于降低设备的维修费用、预防因齿轮失效而诱发的设备事故,具有现实意义。现有的齿轮故障诊断方法有多种,例如,通过时域平均分析,可以识别齿轮安装错位、断齿等缺陷;通过啮合频率及其谐波分量幅值变化的功率谱分析,可以识别齿面均匀磨损;通过倒频谱分析,可以消除信号传递路径的影响、提取信号中的周期成分;通过包络分析,可以对信号进行幅值解调;通过F/v跨零频率分析及瞬时频率波动分析,可以进行频率解调等。这些方法在齿轮故障的识别中,发挥了积极的作
Gear transmission is the most commonly used mechanical equipment, transmission, gear failure in production due to equipment accidents have occurred, especially in the petrochemical industry continuous operation of large units, in the event of transmission failure, often Sudden downtime caused the accident, causing great economic losses to the enterprise. Therefore, the monitoring and diagnosis of gear running status is of practical significance for reducing the maintenance cost of the equipment and preventing the equipment accident caused by the gear failure. There are many existing methods for diagnosing gear faults. For example, gear misalignment, tooth breakage and other defects can be identified through time-domain average analysis. By analyzing the power spectrum of the meshing frequency and its amplitude changes, the tooth flank Uniform wear and tear; Cepstrum analysis can eliminate the influence of the signal transmission path to extract the periodic components of the signal; through envelope analysis, the signal amplitude demodulation; by F / v cross-zero frequency analysis and instantaneous frequency fluctuation analysis , You can perform frequency demodulation. These methods have played a positive role in the identification of gear failures