Bearing failure diagnosis system

Abstract

The invention provides a bearing fault diagnosis system which comprises an intelligent bearing provided with six output ports with a first output port and a second output port outputting vibration acceleration signals, a third output port and a fourth output port speed signals and a fifth output port and a sixth output temperature signals. The system is characterized in that: the six groups of signals output by the intelligent bearing are sent to the input port of an A / D conversion module, six groups of digital signals output by the A / D conversion module are sent to a processor internally provided with a status monitor and a fault recognizer, wherein, the status monitor monitors the status of the bearing according to the vibration acceleration digital signals, the speed digital signals and the temperature digital signals, and the fault recognizer utilizes a signal processing tool to get a fault judgment result. The system of the invention has the advantages of being capable of monitoring the status of the bearing in an on-line manner according to the three types of signals of the intelligent bearing on the basis of the current intelligent bearing provided with a compound sensor so as to judge which part a fault takes place in.

Description

technical field [0001] The present invention relates to a sensor, in particular, relates to a kind of on-line monitoring and fault diagnosis applied to the axles of high-speed railway vehicles (high-speed passenger cars, etc.) system. Background technique [0002] Bearing, as one of the key parts in mechanical equipment, its running state will directly affect the running state and performance of the equipment. The monitoring and fault detection of bearings, especially the main shaft system of large-scale electromechanical equipment and bearings on high-speed vehicles, has become an important research content and application field of fault diagnosis technology. It has been proven that the performance of a bearing diagnostic system depends on its ability to detect faults in the early stage of bearing operation, that is, to detect abnormal conditions before catastrophic accidents occur. A large number of facts prove that many major accidents are caused by the occurrence of ma...

AI Technical Summary

Problems solved by technology

[0008]However, there is still a lack of specific technical methods for on-line monitoring of the state of the bearing and identification of faults based on vibration acceleration signals, temperature signals, and rotational speed signals

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