Method and system for detecting a fault of main bearing of fan by using stress wave technology

Abstract

The invention discloses a method and system for detecting a fault of a main bearing of a fan by using a stress wave technology. The method comprises the following steps: collecting original stress wave waveform data of operation of the main bearing of the fan; screening the original stress wave waveform data, and extracting normal stress waveform data; and analyzing the normal stress waveform data, and judging whether the main bearing of the fan has a fault or not. According to the method, the stress wave detection technology is applied to fault detection for the main bearing of the fan, quantitative and qualitative analysis is carried out on the fault of the main bearing of the fan, prospective pre-judgment can be carried out on the fault, the accuracy of fault detection for the main bearing of the fan is remarkably improved, and other adverse effects caused by the fault of the main bearing of the fan are reduced.

Description

technical field [0001] The invention relates to the field of non-destructive testing, in particular to a method and system for detecting faults of fan main bearings using stress wave technology. Background technique [0002] The main shaft bearing of a wind turbine is the main component that absorbs the wind load and transmits the load. Its performance not only affects the transmission efficiency, but also determines the maintenance cost of the main transmission chain. [0003] At present, vibration technology, pulse and other high-frequency detection technology and lubricating oil analysis technology are mostly used for fault detection of main shaft bearings of wind turbines. The fundamental drawback of vibration technology is that traditional vibration accelerometers cannot distinguish the subtle signals generated by incipient damage from the vibration signals generated by the normal operation of the equipment itself. It is even more powerless, because the energy released...

AI Technical Summary

Problems solved by technology

The fundamental drawback of vibration technology is that traditional vibration accelerometers cannot distinguish the subtle signals caused by incipient damage from the vibration signals generated by the normal operation of the equipment itself, and when the equipment is operated at lower operating speeds, vibration technology cannot It is even more powerless, because the energy released by the defect at low speed is too small to excite the vibration of the equipment, so that the vibration analysis cannot effectively identify and prevent the occurrence of damage

Impulse and other high-frequency detection techniques only measure the amplitude of shock events generated inside the device, indicating the presence of damage, but not the extent of the damage

The diagnostic accuracy of lubricating oil analysis technology is very low, it is impossible to determine which specific part the chip dust comes from, and it is impossible to make a realistic prediction of the remaining service life of the equipment

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