The hydraulic system of the hydraulic support truck for coal mines is prone to failure during operation, and the failure of the hydraulic system is not handled in time, which has a serious impact on the safety construction of coal mining projects. Aiming at this problem, a new fault diagnosis method of hydraulic system is proposed. According to the working principle of the hydraulic system of the hydraulic support truck, establish a mathematical model for fault diagnosis of the hydraulic system; extract the fault time domain signal characteristics of the hydraulic system, and obtain the mean and variance of the fault samples; analyze the operating state and operation mode of the hydraulic support truck, and analyze the internal hydraulic system. Comprehensive fault diagnosis. Through the experimental analysis, it can be seen that the designed hydraulic system fault diagnosis method can quickly complete the fault diagnosis in a short time, and the accuracy of the diagnosis results is above 95.27%, which is highly feasible.

The geological environment of fully mechanized mining in coal mines is complex, and the requirements for the performance of fully mechanized mining equipment are relatively high. Under the influence of various natural factors and geological environmental factors, there are certain hidden dangers of collision risks in the operation of fully mechanized mining equipment in coal mines. In order to solve this problem, a new collision risk warning method for fully mechanized mining equipment for coal mines is proposed by introducing multi-sensors. By establishing the pose measurement model of the fully mechanized mining equipment, the operation rules and pose changes of the fully mechanized mining equipment can be obtained; sensors are deployed to obtain the pose data of the fully mechanized mining equipment, and the pose change parameters of the fully mechanized mining equipment can be calculated to predict the overall usage and potential of the fully mechanized mining equipment at the current moment. risk hidden dangers; predict collision risk, build alert indicators, and issue alerts. Through the experimental analysis, it can be seen that the designed alarm method, the accuracy of the collision risk alarm results of the fully mechanized mining equipment is above 96.16%, which is highly feasible.

This paper reviews the new Hilbert-Huang Transformation (HHT for short) signal processing method, briefly discusses the significance of time-frequency analysis methods in electromechanical system fault diagnosis, points out the superiority of HHT for fault diagnosis with respect to the characteristics of nonstationary and nonlinear dynamic fault signals, and introduces the basic principles of HHT. The research applications of HHT in the field of fault diagnosis at home and abroad are discussed, showing that HHT is becoming an important signal processing method for mechanical fault diagnosis.