Laser detection method for cracks of fan blade in operation

Abstract

The invention discloses a laser detection method for cracks of a fan blade in operation, relates to the technology of mechanical equipment fault diagnosis and is used for solving the problem that fault diagnosis of cracks of a fan blade is almost based on test and analysis of vibrating signals, but a sensor must be attached to the surface of a tested part for acquisition of the vibrating signals and the sensor is hard mounted. The method comprises the following steps: S1, collecting a distance signal, namely mounting a displacement sensor on the fan to collect the distance signal of the blade; S2, baseline correction, namely performing baseline correction on the collected distance signal; S3, filter processing, namely performing filter processing on the signal subjected to baseline correction; S4, extracting a mode of vibration, amplitude and frequency, namely independently extracting the mode of vibration and the amplitude and frequency of each blade; and S5, data comparison, namely comparing the model of vibration and amplitude of each blade with historical data of the blade and current data of other blades to judge the blade with cracks. The laser detection method based on non-contact measurement increases the fault detection rate.

Description

technical field [0001] The invention relates to a fault diagnosis technology of mechanical equipment, in particular to a laser detection method for cracks in fan blades during operation. Background technique [0002] Wind turbines are installed in harsh environments in the wild and are often left unattended, so monitoring their operating status is particularly important. The blade is an important part of the fan rotor system. Blade crack failure is a common failure of rotating machinery. Once it occurs, if it is not dealt with in time, it will eventually cause the blade to break, which will pose a serious threat to the safe operation of the entire unit, and even lead to major accidents. , causing huge economic losses. Timely and accurate judgment of the crack failure of the fan blade is the key to ensure the healthy service of the fan unit. [0003] At present, the fault diagnosis of fan blade cracks is mostly based on the test and analysis of vibration signals, but the se...

AI Technical Summary

Problems solved by technology

[0003] At present, the fault diagnosis of fan blade cracks is mostly based on the test and analysis of vibration signals, but the sensor must be attached to the surface of the test component to obtain the vibration signal, and the sensor is not easy to install in the working environment of th

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