Online state monitoring and fault diagnosis system of wind generator set

Abstract

The invention discloses an online state monitoring and fault diagnosis system of a wind generator set. The system comprises four parts of a monitoring device, an upper computer, a central monitoring center and a remote diagnosis center, wherein the monitoring device is used for realizing signal acquisition and processing and communication with the upper computer; the upper computer is used for carrying out fine analysis on sample data and displaying various graph spectrums and fault analysis diagnosis and the like; the central monitoring center can monitor the state of fans in each wind fieldin a browsing manner; and the remote diagnosis center is used for periodically acquiring fan data of the wind field, periodically analyzing the state of the fans and carrying out fault analysis and location when alarming information sent by a certain fan is received.

Description

technical field [0001] The invention belongs to the technical field of electrical equipment monitoring and fault diagnosis, and in particular relates to an online state monitoring and fault diagnosis system and method for a wind power generating set, which are used for wind farm owners to realize predictable state maintenance. Background technique [0002] Wind turbine is the main device of wind power generation and the core of wind power technology. The main monitoring components of wind turbines include main bearings, gearboxes, generators and towers. The main failure modes are: unbalance, misalignment, bearing and gear failure. Vibration measurement is one of the most commonly used and effective tools for wind turbine fault detection, analysis and diagnosis. [0003] At present, a considerable part of the fans in the wind farms that have been built in my country were purchased from abroad in the middle and late 1990s. The service life of these units is generally 15-20 y...

AI Technical Summary

Problems solved by technology

[0006] At present, only a small number of domestic wind farms have installed wind turbine online monitoring and fault diagnosis systems, and they are all in the trial operation stage. Most of the existing wind turbine online monitoring and fault diagnosis systems are foreign products, which are expensive and have insufficient services. The product has a large gap in function and performance, and there are problems such as insufficient system functions, lack of centralized monitoring system and remote diagnosis means, lack of operating experience, and inaccurate positioning of fault diagnosis.

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