Wind power transmission chain intelligent fault diagnosis method based on order spectrum migration

Abstract

The invention provides a wind power transmission chain intelligent fault diagnosis method based on order spectrum migration. And in the training stage, an intelligent diagnosis model is created by the source domain data and the target domain normal data. Firstly, a narrowband resonance component in an original vibration signal is separated through a Fourier decomposition algorithm, then an envelope order spectrum of the resonance component is calculated through Hilbert order transformation, and finally the mapping relation between fault features and fault categories is learned through a one-dimensional convolutional neural network. In a test stage, the same Fourier decomposition algorithm and Hilbert order demodulation are adopted to extract an envelope order spectrum of a vibration signal of a target domain, then fault features of target domain data are migrated to a source domain through an order spectrum migration algorithm, and finally, the fault category of the target domain data is identified through a trained model. The invention has the characteristics of high identification precision and small dependence on a target equipment training sample, and can be effectively applied to intelligent fault diagnosis of the wind power transmission chain under the condition of lack of fault data.

Description

technical field [0001] The invention relates to the technical field of intelligent fault diagnosis, in particular to an intelligent fault diagnosis method for a wind power transmission chain based on order spectrum migration. Background technique [0002] Wind power has become an important new energy source in the world. In the past ten years, my country's wind power has developed rapidly, and it is the third major power source after coal power and hydropower. With the rapid development of wind power, the problem of operation failure has become increasingly prominent, and a large number of accidents such as gear box damage, blade cracks, motor fire, collapse, etc. have occurred, especially for megawatt-level wind turbines that have been in operation for more than 2-3 years. 5%. The megawatt-level wind turbine with a speed-up gearbox is the current main model, and its transmission system is mainly composed of a main shaft, a main bearing, a gearbox, and a coupling. Affected...

AI Technical Summary

Problems solved by technology

However, traditional intelligent fault diagnosis research requires a large number of labeled training samples covering various operating conditions and fault categories, which is difficult to meet in the actual wind power transmission chain fault diagnosis

Therefore, traditional intelligent fault diagnosis methods are facing a huge adjustment in industrial applications

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