基于小波理论的刮板输送机传动部故障诊断研究  

Study on Fault Diagnosis of Drive Part of Scraper Conveyor Based on Wavelet Theory

作　　者：白鹏飞 Bai Pengfei(Shanxi Xinjing Coal Industry Co.,Ltd.,Yangquan Shanxi 045000)

机构地区：[1]山西新景煤业有限责任公司

出　　处：《机械管理开发》2019年第5期141-143,共3页Mechanical Management and Development

摘　　要：轴承点腐蚀、疲劳、磨损、断裂失效等,为解决人工检测刮板输送机传动部故障难题,利用离散小波诊断刮板输送机传动部齿轮和轴承的故障。根据小波诊断的功率谱、能量谱、频率等对传动部的齿轮、轴承运行状态进行判断,不仅精准性高,时效性强,还为维修提供了便利。Bearing point corrosion,fatigue,wear,fracture failure,etc.In order to solve the problem of manual detection of the transmission part of scraper conveyor,discrete wavelet is used to diagnose the gear and bearing faults of scraper conveyor transmission part.According to the power spectrum,energy spectrum and frequency of wavelet diagnosis,the running state of the gear and bearing in the transmission part is judged,which is not only accurate,time-effective,but also convenient for maintenance.

关 键 词：小波理论 刮板输送机 齿轮 轴承 

分 类 号：TD265[矿业工程—矿井建设]