Permanent magnetic direct-drive wind power generation system integrated fault diagnosis method

Abstract

The invention discloses a permanent magnetic direct-drive wind power generation system integrated fault diagnosis method. The permanent magnetic direct-drive wind power generation system integrated fault diagnosis method comprises the steps of conducting sampling and data pre-processing on multiple types of signals of a permanent magnetic direct-drive wind power generation system, utilizing a multi-wavelet-packet decomposition technology to extract sampling signal transient-state components of different frequency bands, calculating wavelet time entropies of sampling signals, training a support vector machine fault diagnosis model, and enabling the trained fault diagnosis model to output fault parts and fault type information corresponding to the wind power generation system. The permanent magnetic direct-drive wind power generation system integrated fault diagnosis method adopts a wavelet theory and the fault diagnosis model formed by multiple 'binary tree' support vector mechanisms, effectively improves the training speed and identification accuracy and is especially suitable for solution of the fault diagnosis problem of a small-sample, nonlinear and high-dimensional large-scale electromechanical system.

Description

technical field [0001] The invention relates to the technical field of new energy power generation, in particular to an integrated fault diagnosis method for a permanent magnet direct drive wind power generation system. Background technique [0002] In recent years, wind energy, as a green energy, has played an increasingly important role in the world's energy structure, and wind power equipment has also developed rapidly. Wind farms are generally located in remote areas with complex and harsh working environments. The probability of failure of wind turbines is relatively high, and wind turbines are installed on towers tens of meters high, making maintenance very inconvenient. If the key components of the unit fail, it will damage the equipment and even cause the unit to shut down, resulting in huge economic losses. For a unit with a working life of 20 years, the operation and maintenance costs generally account for 10% to 15% of the total investment of the entire wind farm...

AI Technical Summary

Problems solved by technology

[0007] Existing fault diagnosis technologies for wind power generation systems only perform fault analysis on a certain component, such as “A Fault Diagnosis Method for Wind Power Gearboxes” with patent number CN201310694994.7, or perform fault analysis on a fault of a certain component Analysis, such as the patent No. CN201310184354.1 "A method for open-circuit fault diagnosis of permanent magnet direct drive wind power generation system converter", can only identify the fault or not, but cannot diagnose the fault type and fault location

At present, there is no diagnostic method that can integrate the fault analysis of all components with a high failure rate in the wind power generation system, and quickly and accurately identify fault information

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