Blade-root bolt fracture fault detection method and medium

Abstract

The invention discloses a blade-root bolt fracture fault detection method which comprises the steps of S01, selecting multiple characteristics for preprocessing, standardizing three variables describing the running status of a blade by adopting mean value-variance, then summing, and outputting; S02, using data without bolt fracture fault for training an LSTM normal model; using data before bolt fracture fault occurrence for training an LSTM fault model; putting the data of S01 into the LSTM normal model and the LSTM fault model, and extracting an error vector characteristic; S03, substitutingthe error vector characteristic into a random forest algorithm for training a random forest model; and substituting fan operation data into the random forest algorithm model for carrying out fault diagnosis. The invention further discloses a computer readable storage medium stored with a computer program, and the program implements the method when being executed by a processor. The detection method and the medium provided by the invention have the advantages of high automation degree, high detection accuracy, cost reduction and the like.

Description

technical field [0001] The invention mainly relates to the technical field of wind power, in particular to a blade root bolt fracture fault detection method and a medium. Background technique [0002] Wind power is of great significance for alleviating energy supply, improving energy structure, and protecting the environment. In recent years, wind turbines have been widely installed and used in our country. Since the wind turbines are usually located in the wild, the environmental conditions are harsh, and they are prone to failures. It takes a lot of manpower and material resources to maintain them, and the reliability requirements for the wind turbines are getting higher and higher. Therefore, it is of great practical significance to carry out analysis and research on the common fault mechanism of wind turbines to ensure the safe operation of wind turbines, prevent failures, reduce the incidence of failures, and improve the reliability of wind turbines. [0003] Bolt con...

AI Technical Summary

Problems solved by technology

[0006] At present, there is no good method for the early detection of blade root bolt failures. Generally, manual inspection is performed, or after a fracture occurs, the visual inspection of the broken bolts is performed, and the fracture is analyzed macroscopically and microscopically. Phase structure inspection, mechanical properties and hardness testing and fatigue testing, etc.

Images