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Application of wavelet analysis to fault diagnosis of angular measuring system

机译:小波分析在测角系统故障诊断中的应用

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摘要

For fault diagnosis, signal singularity and irregularity discontinuity fraction are very significant characteristics of signal. The discontinuity of output signal represents a system fault. In an angular measuring system, function transformer uses two D/A convertors, output circuit fault of a D/A convertor brings about discontinuity of one phase input voltage amplitude of inductosyn, results in a system error exceeding the allowable error and reduces the system accuracy. This is the reason why discontinuity is detected. Fourier transform has no resolution ability in angular-domain, but wavelet can analyse signal in angular and frequency-domains. So we decompose the error signal of angular measuring system by wavelet, detect the signal singularity at high frequency layer and find out the accurate position of it.
机译:对于故障诊断,信号奇异性和不规则不连续性分数是信号的非常重要的特征。输出信号的不连续表示系统故障。在角度测量系统中,功能互感器使用两个D / A转换器,D / A转换器的输出电路故障导致感应同步器的一相输入电压幅度不连续,导致系统误差超过允许误差,并降低了系统精度。这就是检测到不连续性的原因。傅立叶变换在角域没有解析能力,但是小波可以在角域和频域分析信号。因此我们用小波分解测角系统的误差信号,检测高频层信号的奇异性,找出其准确位置。

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