Future gearbox fault diagnosis should be in line with cutting-edge technology


Through the research and analysis of the spectrum vibration image, it can be concluded that there are faults in some positions of the gearbox. The main conclusions are as follows: (1) The wear phenomenon of the large toothed pulley on the F2 axis is the main cause of abnormal vibration of the gearbox. . (2) There is a certain looseness fault in the gearbox machinery, which is also an important factor causing abnormal vibration of the gearbox. (3) There is a fault in the gearbox bearing. Therefore, during the routine inspection and maintenance of the gearbox, it is necessary to focus on the wear of the large gear belt and the connection and meshing of various parts of the gearbox to check for looseness. In addition to this, it is necessary to check the bearings of the gearbox.
The development direction of gearbox diagnosis prospectively integrates the current advanced science and technology into fault diagnosis is a major trend of gearbox fault diagnosis. The fault diagnosis of gearbox should be in line with cutting-edge technology, and its development direction mainly includes the following aspects. (1) Conduct comprehensive and in-depth theoretical research on the source of the gearbox and the vibration mechanism. The structure of the gearbox is complex and the working conditions are also many. In the fault diagnosis, there are many problems involved. At present, the research on the troubleshooting and the mechanism of vibration generation is still not thorough. Generally, some qualitative conclusions are used. It is more difficult for the model to perform a complete quantitative analysis. (2) Want to integrate with the most advanced sensor technology, especially laser testing technology. At present, chromatograph laser testing technology has been deeply developed in vibration measurement and equipment fault diagnosis in various fields, and has also been successfully applied in vibration measuring and rotating machinery. (3) Combine fault diagnosis techniques with new signal processing methods. At present, the traditional signal processing technology based on fast Fourier transform has been developed, and the latest signal processing methods have also been applied in equipment fault diagnosis. (4) Drawing on modern intelligent methods. The modern intelligent method is composed of expert system, fuzzy logic, neural network, evolutionary calculation and so on. The program must contain a knowledge base consisting of a set of facts, and the program must also provide reliable conclusions through the knowledge base when consulting the session.

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