电动阀故障检测诊断研究

利用基于小波变换的奇异点奇异性指数(Lip指数)作为信号包络的特征识别指标,提出了一种对调制类型信号的诊断方法,并指出信号的包络分析是解决这类问题较有效的方法.同时,以某型舰用电动阀为例,对故障前后的信号作了分析计算.计算结果表明,与单纯用时域或频域的方法相比,该方法明显地提高了分析结果的精度.

Research of detection and diagnostic of electromotive valve

The singularity detection based on the wavelet analysis is adopted, and Lipschitz index of a singularity is quantitatively used as characteristics. A new diagnosis method to the modulated signals is put forward. Furthermore, the wavelet envelope analysis is indicated that it is a quite effective way to resolve the problem. Meanwhile, an instance is presented for analyzing the fore-and-aft fault signals of certain electromotive valve. The result shows that such a method is more precise if compared with the time or frequency field method.