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Bearing fault diagnosis measures discussed in this paper

by:Waxing     2020-11-14
Measures to investigate 2021 - bearing fault diagnosis 03 - 02 Yang Yanyan ( Guangxi ZhongYan industrial co. , LTD. ) Abstract: bearing in a variety of play an important role in the operation of machinery and equipment, but in the process of mechanical operation of bearing parts are highly susceptible to damage or other fault, affect the normal operation of the machinery and equipment; Therefore need to attach importance to the fault diagnosis of bearing parts, timely find the causes of bearing failure and types, so that the bearing fault timely prevention and treatment, guarantee the normal operation of the machinery and equipment. Analysis existing diagnostic measures of bearing, and analyzes on the causes of bearing failure, for your reference. Key words: bearing; Fault diagnosis; Measures; Mechanical operation of modern science and technology development, greatly promote the development of machinery industry. In all kinds of mechanical equipment, bearing is one of the most basic and most important part, in the high speed railway, precision machine tools, agricultural machinery, and many other fields can see the figure of bearing parts. Bearing application history, the earliest can be traced back to 2000-3000 BC, the egyptians first with bearing any heavy carry, when bearing structure is relatively simple, usually ourselves or the car, but it is the foundation for the development of the modern bearing structure. At present, the bearing parts has been widely used in machinery and equipment, is the basis of the mechanical running parts. In mechanical equipment, bearing parts of wear is usually large, prone to failure, affect the normal operation of the machinery and equipment. Research data show that the mechanical operation of the fault, 80% are caused by bearing failure. Therefore, need to attach importance to the fault diagnosis of bearing parts and analysis, improve the level of the fault diagnosis of bearing parts, facilitate subsequent mechanical maintenance work. 1 bearing fault diagnosis technology of the development process of bearing fault diagnosis technology, has experienced a long process of development. In the early stages of technology development, is not actually for bearing fault diagnosis of the effective means, to a large extent depends on personal experience. Are generally through the sound bar in contact with the bearing parts of the machine, through the sound bar conduction voice to judge fault of bearing. This way of diagnosis has a lot of uncertainty, and requiring of personal experience. Appeared on the stage, also with a stethoscope for bearing fault diagnosis, the diagnostic method compared the sound bar conduction way, to a certain extent, improve the success rate of fault diagnosis, but still needs to be essentially individuals have more wealth of experience. With the development of technology, used in bearing fault diagnosis technology has great development, began to appear in shock pulse technology and the diagnosis technology of resonant demodulation are used to diagnose the faults of the bearing. Development until now, there are centered on microcomputer monitoring and fault diagnosis system of the rolling bearing, to a great extent, improved the efficiency and accuracy of bearing fault diagnosis. 2 bearing fault detection and diagnosis technology analysis in the actual mechanical operation maintenance, the causes of failure of bearing components can be summed up in a couple of points: (1) in the design of the reason, in the mechanical design, mechanical equipment chosen bearings can not be completely consistent with mechanical parts and therefore bearing error and deviation appear easily in the running; (2) the bearing lubrication, mechanical operation process brought bigger to bearing parts wear and tear; (3) the quality of the bearing itself, and the machining accuracy is not enough, lead to bearing accuracy can meet the precision machinery operation; (4) machinery overload and corrosion problems. Rolling bearing is a kind of main types of bearing parts, at present most of the machinery used rolling bearing components, a good portion of mechanical equipment failure is usually caused by the rolling bearing failure. Data, according to a study in gearbox fault happened, the failure rate of bearing components will be about 30%, so it is quite important for fault diagnosis of rolling bearing. At present, for the rolling bearing fault diagnosis technology has a lot of, more common is shock pulse diagnosis method ( The SPM method) 。 The technology can be used to pulse state of bearing parts, and the efficient and accurate judgment, when there is crack, fatigue spalling, bearing wear or rolled into foreign body within the tao, the operation of the bearing show a kind of abnormal condition, and will impact in the operation, the impact is the important basis of bearing fault diagnosis. Bearing the operation of the impact of general pulse vibration, can be judged according to the strength of the pulse vibration fault features and degree. Bearings in normal operation, also can produce a lot of low frequency signal, but differ as a result of bearing material, structure and speed is also different, so the bearings will there is a big difference in the low frequency signal. Generally speaking, the bearing running low frequency signal in 20 ~ 20000 hz frequency range, by recording frequency of different type bearing, can realize the fault diagnosis of bearing abnormal frequency, this is the impact pulse diagnosis ( The SPM method) The main reason for the widely used. References: 1] Yang tao. Steam turbine generator set of dynamic and static analysis and the rubbing fault diagnosis method research [ D] 。 North China electric power university ( Beijing) , 2011. ( 2] Zhao Zhongmin. Equipment failure vibration diagnosis process the misdiagnosis reasons and control method [ J] 。 Petroleum and chemical industry equipment, 2008 ( 2) : 33 - 37. ( 3] Yun-tson tsao, Ma Chaoyong, antonia wang. The fault diagnosis of locomotive bearing running stocks analysis and handling measures [ J] 。 Diesel engine, 2004 ( 2) : 24 - 25 13.
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