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电液伺服系统以其功率大、响应快、精度高的特点,广泛地应用于钢铁、电站、化工等领域的重大技术装备中,但系统的机液耦合、时变性和非线性等特性使其特征信号具有时变性、非线性.现代信号处理技术是机械设备故障诊断的关键技术,小波理论是近年来发展起来的一类信号处理的有力工具,局部化与多尺度分析是其精华所在.由于良好的时频局部化特性小波分析可以准确地抓住瞬变信号的特征.而通过多尺度变换,又可对信号进行“切片式”的分析.在不同频带上观察信号的演变与特征.本文基于小波理论,运用二进小波变换检测信号的奇异性并区分奇异类型的实用技术,在电液伺服系统典型故障的分析得到了成功的应用.这表明小波理论在故障诊断技术中有着很好的应用前景.
The electro-hydraulic servo system is widely used in the major technical equipment in the fields of steel, power station, chemical industry, etc., due to its powerful power, fast response and high precision. However, due to the characteristics of liquid-liquid coupling, time-varying and non-linearity, The characteristic signal has time-varying and non-linearity.Modern signal processing technology is the key technology of mechanical equipment fault diagnosis.Wavelet theory is a powerful tool of signal processing developed in recent years.Localization and multi-scale analysis are its essence.As a result of A good time-frequency localization wavelet analysis can accurately grasp the characteristics of transient signals, and through the multi-scale transform, the signal can be analyzed in a “slicing manner.” The evolution and characteristics of signals are observed in different frequency bands. Based on the wavelet theory, using the binary wavelet transform to detect the signal singularity and distinguish the singularity of the practical technology, the analysis of the typical fault in the electro-hydraulic servo system has been successfully applied.This shows that the wavelet theory has a good fault diagnosis technique Application prospects.