Design Of Rolling Bearing Fault Diagnosis System For Winch In Mine

Nowadays，the coal mining is developing in the direction of digital and intelligent,the fault diagnosis of mechanical equipment in coal mine is an important part. In theoccasion of coal mining and transportation situation, rotating machinery such aswinches, cranes, fans and so on, is the foundation of the normal operation of coal mine,playing an important role. Rolling bearing are commonly used in rotating mechanismand often damaged because of the severe environment. The fault diagnosis system ofrolling bearings can monitor the operating status of bearings in real time withoutstopping the machine, guarantee the safe and stable operation of machinery inmine,avoid unnecessary mechanical accident, economic losses,and safety accidents.Inrecent years, rolling bearing fault diagnosis technology has obtained rapid development,many research institutions and enterprises in the domestic and overseas have developedfault diagnosis system, the effects in actual use is significant. In these systems, the mostare based on processing of vibration signal.In this paper,we simulate the fault of rolling bearing in winch dependent onsimulation experiment platform named as QPZZ-Ⅱ of Jiangsu qianpeng company,andfinish identification of the fault types. picking up the vibration signal in fault condition,extracting the characteristic information of signal, and comparing with theoreticalfrequency, concluding that the bearing has fault or not,and fault type. Deal with theissue of huge amount data in actual data acquisition by combination of LabVIEW anddatabase.denoise signal using wavelet analysis,and then find the center frequency andthe best analysis band of the signal by rapid kurtosis diagram analysis,finally the faultcharacteristic frequency is obtained by envelope spectrum analysis,completing the faultdiagnosis.This system combinesinteractive interface design features of LabVIEW and dataoperational capabilities of MATLAB, mixed programming. MATLAB prepared rapidkurtosis diagram for obtaining center frequency and bandwidth, then the LabVIEW callresults directly.This approach can not only eliminate the dependence on the engineeringexperience of staff, carry out automatic selectionof the resonance frequency bandeffectively, avoid the influence of staff’s subjective ideas, but also can reduce the timegreatly.The experimental results show that the fault diagnosis system of rolling bearingsachieved the desired result,and can be used to real-time monitoring of rolling bearing fault in winch.