基于小波变换和特征曲线在煤矿主通风机故障诊断系统中的应用
首发时间:2010-07-16
摘要:运用小波分析理论构建风机典型故障的特征表,对风机振动信号进行小波分解,提取振动信号的特征向量并与典型故障特征表对比,由此判断风机存在的机械故障;喘振是一种威胁风机安全的危险工作状态,根据风机工况点在特征曲线上的位置判断风机的工作状态,为防止风机发生喘振提供依据。
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The Application of Coal Mine Main-Fan Fault Diagnosis System Based on Wavelet Transform and Characteristics Curve
Abstract:Use wavelet theoryto build the property list of air blower typical trouble, decompose the air blower vibration signals with wavelet transform, extract the feature vector of vibration signals and compare with the property list of typical trouble. Hence we can judge the mechanical problem of the air blower. Surging is a dangerous station which threatens fan's safety. The thesis judges the work status of the fan according to the location of the fan's operation point in the characteristics curve. This affords evidence for avoiding surging.
Keywords: coal min main-fan fault diagnosis vibration wavelet transform surge
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基于小波变换和特征曲线在煤矿主通风机故障诊断系统中的应用
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