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基于VMPE的往复压缩机故障诊断方法

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多尺度排列熵(Multi-scale Permutation Entropy,简称MPE)是一种能够描述时间序列复杂程度的分析方法,已广泛应用到往复压缩机的特征提取中.为解决MPE在粗粒化计算过程中存在的问题,将方差法代替粗粒化计算中的均值法,提出了基于方差的多尺度排列熵方法(Variance Multi-scale Permutation Entropy,简称VMPE),并通过分析高斯白噪声信号,将其与MPE对比,研究其稳定性和优越性.基于VMPE的优点,提出基于VMPE与极限学习机(ELM)往复压缩机故障诊断方法,将其应用于往复压缩机气阀的故障诊断中进行分析.试验结果表明,该方法能够识别气阀故障类型,且具有更高的故障识别率.
Fault Diagnosis Method for Reciprocating Compressorsbased on VMPE
Multi scale Permutation Entropy(MPE)is an analytical method that can describe the complexity of time se-ries and has been widely applied in feature extraction of reciprocating compressors.To solve the problems of MPE in coarse-grained computing,the variance method is replaced by the mean method in coarse-grained computing.A vari-ance based multi-scale permutation entropy(VMPE)method is proposed,and its stability and superiority are studied by analyzing Gaussian white noise signals and comparing them with MPE.Based on the advantages of VMPE,a fault di-agnosis method for reciprocating compressors based on VMPE and ELM is proposed and applied to the fault diagnosis of reciprocating compressor valve.The experimental results show that this method can identify the type of valve fault and has a higher fault recognition rate.

multi-scale permutation entropyVMPEreciprocating compressorsfault diagnosis

李纯思、李纯辉

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哈尔滨千恒鑫仪器设备有限公司,哈尔滨 150000

东北石油大学,黑龙江大庆 163318

多尺度排列熵 VMPE 往复压缩机 故障诊断

"三纵"基础培育项目

ZRCPY202207

2023

农机使用与维修
农业部农机维修研究所

农机使用与维修

影响因子:0.105
ISSN:1002-2538
年,卷(期):2023.(12)
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