Abstract: As the core equipment for coal mining, the shearer has complicated structure, poor operating environment, and is susceptible to huge loads at the time of mining and coal falling, causing various failures and shutdown. Therefore, the health status of the shearer directly affects the production efficiency of coal mining enterprises. In view of the difficulty of assessing the health status of the shearer, a shearer′s health status evaluation model based on the combined weighting method is proposed. Firstly, according to the operation characteristics of the shearer, the health status indicator system is constructed. The combined weighting method based on the analytical hierarchy process and the entropy weight method is used to obtain the comprehensive weights with both subjective and objective meanings. According to the gray clustering method and the fuzzy comprehensive evaluation method, the assessment of the health status of the key components of the shearer and the complete machine were completed. The simulation results show that the accuracy of the state evaluation results based on the combination weighting method is 84.33%, which is higher than the accuracy of the evaluation results obtained by using the analytic hierarchy process method or the entropy weight method. The method can effectively solve the problem of difficulty in the state evaluation of the shearer, and lays a foundation for the subsequent life prediction and maintenance decision.