为解决采煤机逆变器故障诊断可靠性、快速性及微弱故障信号提取问题,以直流侧电流作为研究对象,采用自适应信号提取算法,从直流侧电流中提取微弱故障信号。通过对单管开路和缺相2种故障模式的研究,结果表明:该算法采用同一套参数即能实现2种故障模式下故障信号的提取,自适应较强,能够满足故障诊断的快速性和可靠性要求。 In order to solve the problem of reliability, fastness and faint fault signal extraction in the fault diagnosis of shearer inverter, DC current was taken as the research object. The adaptive signal extraction algorithm was used to extract weak fault signals from the DC side current. The results show that the algorithm can extract the fault signals from two fault modes with the same set of parameters, and has strong self-adaptability and can meet the requirements of fast fault diagnosis and Reliability requirements.