Fan blade fault detection method, device and system and storage medium

Abstract

The invention relates to a wind power generation technology, and discloses a fan blade fault detection method, which comprises the following steps of: performing analog-to-digital conversion processing on a vibration signal of a to-be-detected blade acquired in real time to obtain a vibration digital quantity of the to-be-detected blade; according to the vibration digital quantity of the to-be-detected blade, fault recognition processing is carried out on the to-be-detected blade through a preset fan blade fault recognition model, and a fault recognition result of the to-be-detected blade is obtained; according to the identified blade fault, inputting the vibration digital quantity of the to-be-detected blade into a preset blade fault type analysis model to analyze the fault type of the to-be-detected blade, and obtaining the fault type of the to-be-detected blade; and according to the fault type of the to-be-detected blade, generating blade fault early warning prompt information pre-matched with the fault type of the to-be-detected blade. The problems that in the prior art, fan blade vibration fault detection is poor in real-time performance and reliability, and the fault type cannot be accurately judged can be solved.

Description

technical field [0001] The invention relates to wind power generation technology, in particular to a fan blade fault detection method, device, system and computer-readable storage medium. Background technique [0002] The working principle of a wind turbine is that the wind rotor rotates under the action of the wind, converting the kinetic energy of the wind into the mechanical energy of the wind rotor shaft, and the generator rotates to generate electricity under the drive of the wind rotor shaft. Fan blades are the key components of wind turbines, but their working environment is complicated. If the fan blades vibrate abnormally, cracks may be formed on the blades. If the continuous vibration is abnormal, the blades may break, resulting in huge economic losses. [0003] At present, the detection method of blade vibration failure is commonly used to obtain blade operation data from SACDA (Data Acquisition and Monitoring Control System), and then analyze the operation data t...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a fan blade fault detection method, device, system and computer-readable storage medium, the main purpose of which is to solve the problem of poor real-time performance and poor reliability in the fan blade vibration fault detection in the prior art, and the inability to accurately determine the fault type and other issues

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