Study On Virtual Instrumentation Of Low Speed Heavy Load Large Bearing's Fault Diagnosis

The security running of equipment becomes more and more important and people pay more and more attention to the security monitoring of equipment with the development of modern industries. It is very difficult to monitor the widely applicable bearing with low speed and high load because of its own structure and operation features. There are few reports on the monitoring and fault diagnosis of bearing with low speed and high load. The working process of the bearing with low speed and high load (converter trunnion bearing) is monitored through vibration method and lots of field data are obtained. A industrial micro computer diagnosing system has been constructed for the detection of the defects of trunnion bearings. It is mainly based on the sampling and analysing the vibration signals for time and frequency domains. First, the monitored vibration signal is analyzed through traditional Fourier transform method and the bearing fault is diagnosed. And then, the vibration signal of the bearing with low speed and high load is analyzed and fault is diagnosed through wavelet transform method.Seen from the comparison of the two methods, it will be difficult to diagnose fault of the bearing with low speed and high load through the former method. But it will be effective to diagnose it through the latter method.The system employs a industrial computer and the software is written in Visual C++ and LabVIEW language. It is face to object, face to user.It has been success fully used for analysing the vibration signals of antifriction bearings, and is possible to be extended to the application of sampling and analysing other mechanical vibration signals.