Research And Application Of Gear Case Fault Diagnosis Based On Labview

With the advance of science and technology, the trend of development for mechanical equipment is high performance, high efficiency, high automatic and reliability. With the advantage of fixed drive ratio, large driving torque and compact structure, gear case is used to change the rotational speed and transfer power. It is an important part of mechanical equipment, and also is easy to get out of order. The running status of gear case has a large effect to the performance of equipment.There are many advantages when doing gear case fault diagnosis using virtual device technology. It is able to share hardware and software, create various automatic test systems, and complete many works such as signal analysis, data processing and storage, graph display convenience using the advantages of personal computer.The basic theory of fault diagnosis is introduced and the fault mechanics of gear case is analyzed in this paper. The fault for the main parts of gear case including gear wheel and pillow is studied. The achievement supply theory assists for the gear case fault diagnosis. The data acquisition and analysis platform is created using the Labview software. The function of data acquisition is realized using NI card. The programs of fetching data, preprocessing data using the resonance demodulation and time domain synchronous averaging technology, and signal spectrum analysis are developed. The correct analysis data used to fault diagnosis can be generated. The BP neural networks technology is applied to the gear case fault diagnosis in this paper. The BP neural networks diagnose model is created and the data processed using the resonance demodulation and time domain synchronous averaging technology is diagnosed. It can be concluded from the diagnose results that the noise signal can be separated using both the methods, the fault character is more explicit and the misdiagnosis rate can be reduced obviously.