Research Of Coal Minning Machine Mechanical Fault Diagnosis Based On The Combination Wavelet Method And Time-frequency

The coal resources has a very important position and role in our country’s energysystem structure, coal mining machine as a key equipment of coal mine productionprocess is a complex machinery that is a collection of machinery, electronics, electricand hydraulic transmission. Safety and stable operation of coal mining machinesequipment is important to guarantee safety in coal production and promote productionefficiency. Because of coal winning machine is often in a moist、 dust grain much、electromagnetic interference and other complex underground operation environment,coal winning machine faults appear such as mechanical wear、gear fault and bearingdamage. Once coal minning machine fault appears, it will cause the entire coal mineproduction process stagnation and even paralysis.In view of mechanical faults of coal mining machine, based on thorough study andanalysis of coal winning machine operation environment、the working characteristicsand influence factors which lead to coal winning machine mechanical faults, with thecombination of time-frequency domain method and orthogonal wavelet method, usingthe existing coal mining machine monitoring system and detecting device for foundation,coal winning machine mechanical fault diagnosis based on the combination method ofwavelet and time-frequency are put forward. The research results are obtained asfollows: Analyze the coal winning machine mechanical fault type and faultcharacteristics analysis; Study on feature extraction and feature analysis of coal winningmachine fault signal; According to a coal production, coal winning machine mechanicalfault diagnosis expert system based on combination method of wavelet andtime-frequency is designed. The main content of this paper mainly includes thefollowing aspects:(1) According to the types of coal winning machine fault, coal mining machineryfault characteristic analysis is preceded. A detailed study of analysis method of the coalmining machine fault signal in the time domain, frequency domain and time domain andfrequency domain.(2) On the basis of analysis of coal winning machine mechanical fault signal, weresearch mechanical fault signal feature extraction method based on the principalcomponent analysis, spectral entropy and wavelet analysis method and study of the influence factors, extracting process, experimental analysis of machine mechanical faultsignal in each method.(3) On the basis of analysis of orthogonal Wavelet analysis method, for coalwinning machine mechanical fault signal, coal winning machine mechanical faultdiagnosis method was put forward based on the orthogonal wavelet analysis. Study ofthe theoretical foundation of the method, implementation process and the coal miningmachine asynchronous motor’s fault type and diagnosis method of bearing outer ring,the inner ring, a rolling body and other parts.(4) Coal winning machine mechanical fault diagnosis expert system based oncombination method of wavelet and time-frequency is designed. Study on the systemstructure of the system, system function, workflow, as well as the correspondinghardware and software platforms.The actual application result shows that this design in this paper based oncombination method of wavelet and time-frequency coal winning machine mechanicalfault diagnosis expert system can realize the accurate judgment of coal mining machinemechanical fault. It has important meaning in Improving the mechanical operationsecurity and stability and promoting the enterprise safety production.