Phased fault detection method for rolling bearing

Abstract

The invention discloses a phased fault detection method for a rolling bearing and belongs to the field of mechanical structure fault diagnosis. The phased fault detection method for the rolling bearing solves the problems of large memory needing and difficulty in storage and transmission due to extracting too much historical data in the online rolling bearing monitoring and diagnosis and the problems of high cost and resource waste due to continuous monitoring and diagnosis. The phased intermittent state detection method includes a phase 1, a phase 2, a phase 3 and a phase 4, the phase 1, phase 2 and phase 3 use intermittent detection, and the phase 4 uses continuous detection. Each phase skips automatically through the detected vibration level, and meanwhile, when locating at the next phase state, the state can be converted to the previous state so as to eliminate the state skipping due to accidental factors, the requirement on the rolling bearing fault diagnosis precision is satisfied, the overall detection time is greatly shortened, the cost is lowered, the requirement on the technology of an operator is low, and the practical significance is strong.

Description

technical field [0001] The invention belongs to the field of mechanical structure fault diagnosis, and in particular relates to a segment detection method in online fault diagnosis of rolling bearings. Background technique [0002] Rolling bearings play a very important role as the supporting parts of rotating machinery. According to statistics, 30% of the faults of rotating machinery are caused by the faults of rolling bearings. The economic losses caused by the faults of rolling bearings are immeasurable. Therefore, the fault diagnosis of rolling bearings is my country is attracting more and more attention. The on-line diagnosis of rolling bearings can prevent and avoid the loss of equipment caused by rolling bearing faults by monitoring the running state of the bearings. The online status detection based on rolling bearings at home and abroad mainly includes: ① offline regular detection method ② online monitoring and offline analysis method ③ automatic online detection me...

AI Technical Summary

Problems solved by technology

[0003] The present invention mainly solves the problem that the data of on-line monitoring and diagnosis of rolling bearings is very large, and the memory required for storing these detected historical data is very large. General equipment cannot meet the problems of difficulty in storing and transmitting these historical data and the cost required for continuous monitoring and diagnosis is relatively high. high puzzle

Images