Study on Installation of the Intelligent Acoustic Diagnosis System on the Bearing Running-in Machine for Railway Passenger Cars
To further ensure the operation safety of railway passenger cars on track,after assembly,the axles of the passenger car shall receive the running-in test on the running-in machine to verify the bearing assembly state.At present,the control criteria of the running-in test for rotating speed,time and temperature rise are clear and can be realized through the own performance of the running-in machine.However,the phenomena of abnormal noise and blockage arising during the running-in are mainly judged by maintenance personnel through listening and touching,so the accuracy rate completely depends on their experience and feeling,the efficiency and rate of fulfillment are low,the prediction criteria can't be unified and quantified,and risks of erroneous or missed judgement exist.Therefore,in order to allow the bearing running-in machine to automatically judge the phenomena of abnormal noise and blockage during the running-in test with testing methods and simulate the operation state of railway passenger cars on real tracks more truly,it's necessary to learn from the proven technologies in the railway transport industry.On this basis,the article proposes the concept of installing an intelligent acoustic diagnosis system on the existing bearing running-in machine for passenger cars.The system can make a comprehensive judgement of the acoustic signal characteristics of the faulty bearing with the diagnosis technology combining the high-frequency resonance demodulation technology and the statistical factor method so as to realize the monitoring of the faults of rolling bearings of passenger cars;and it can quantify the phenomena of abnormal noise and blockage and provide a way for comprehensive judgement of bearing faults during the axle running-in test so as to achieve the goal of"mechanical control"and provide a technical guarantee for the safe production on site.
railway passenger carbearing faultabnormal noise and blockagehigh-frequency resonance demodulationstatistical factoracoustic diagnosismechanical control
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