基于差分振子的煤机设备故障诊断方法研究  

Research on Fault Diagnosis Method of Coal Machinery Equipment Based on Differential Resonator

作　　者：郭军[1,2] Guo Jun(Research Institute of Mine Big Data,China Coal Research Institute,Beijing 100013,China;State Key Laboratory of Coal Mining and Clean Utilization,Beijing 100013,China)

机构地区：[1]煤炭科学研究总院有限公司矿山大数据研究院,北京100013 [2]煤炭资源高效开采与洁净利用国家重点实验室,北京100013

出　　处：《煤矿机械》2023年第4期188-192,共5页Coal Mine Machinery

基　　金：北京市科技计划应用技术协同创新资助项目(Z201100004520015)。

摘　　要：针对煤机设备故障特征提取受变工况、变载荷等因素制约的问题,构建了差分振子检测器提取煤机设备故障特征。为利用差分振子检测器进行多故障特征频率检测,对差分振子相图做频谱分析,提出了提取多频率特征的方法,突破了差分振子只能检测单一频率的限制。利用煤矿井下带式输送机驱动电机故障实例进行了验证。结果表明,基于差分振子的多特征提取方法可以有效地提取煤机设备的早期故障特征,并具有较高的精度。Aiming at the problem that the fault feature extraction of coal machinery equipment is restricted by factors such as variable working conditions and variable loads,a differential oscillator detector was constructed to extract the fault features of coal machinery equipment.To detect multi-fault characteristic frequency with a differential oscillator detector,analyzed the spectrum of the phase diagram of the differential oscillator,a method of extracting multi-frequency characteristics was proposed,which breaks through the limitation that differential oscillators can only detect a single frequency.The verification was carried out by using the fault example of the drive motor of the belt conveyor in the coal mine.The results show that the multi-feature extraction method based on a differential oscillator can effectively extract the early fault features of coal machinery equipment with high accuracy.

关 键 词：差分振子 多故障特征检测 故障诊断 煤机设备 

分 类 号：TD407[矿业工程—矿山机电]