In order to effectively evaluate the health status of shearer, a shearer health status evaluation model based on PCA and cloud model is proposed in this paper. Taking the shearer in a mine as the research background, 10 influencing factors from four aspects of cutting department, traction department, frequency conversion department and height and pressure regulation are selected as the evaluation indexes to establish the health status evaluation system of shearer; In order to avoid the subjective influence of decision-makers, this paper evaluates the shearer health state from a quantitative point of view, uses PCA to reduce the dimension of the data and calculate the weight of each index, constructs a shearer health state cloud model based on cloud theory, and determines the shearer health state level according to the characteristic parameters of the cloud model. The results show that the cloud model evaluation method of shearer health state based on PCA can accurately judge the current shearer health state, and provide a certain reference for coal mining enterprises to arrange maintenance plans.