Fault Diagnosis Method for Large-scale Electromechanical Equipment in Coal Mines Based on Vibration Modal Recognition
In order to improve the safety and reliability of the operation of large-scale electromechanical equip-ment in coal mines,accurate and rapid fault diagnosis of the equipment is crucial.Based on this,fault diagnosis method for large-scale electromechanical equipment in coal mines based on vibration modal recognition is proposed.Firstly,based on the structural characteristics and operating conditions of the equipment,considering the operating conditions of the equipment,the points of sensor measurement are arranged to collect the vibration signals under the operating state of the equipment;Secondly,the multi-sensor signals are fused and processed to provide an analytical basis for the subsequent diagnosis of faults;thirdly,the characteristic parameters reflecting the state of the equipment are extracted based on the principle of vibration modal recognition,including the mean value,maximum value,root mean square value features of the vibration signals;Finally,the fuzzy set of failure signs and failure factors for large-scale electromechanical equipment in coal mines is established,and the degree and type of failure are determined by the fuzzy vectors of equipment failure signs.The experimental results show that the fault diagnosis rate of this method can reach more than 94%,demonstrating good accuracy and reliability.
Large-scale electromechanical equipment in coal minesVibration modal recognitionFault diagnosis
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