Wind driven generator abnormality diagnosis and treatment system

A technology for diagnosis of wind power generators and abnormalities, which is applied in the direction of motor generator testing, measurement of electricity, measurement of electrical variables, etc.

Inactive Publication Date: 2018-11-02
SHANGHAI ELECTRICGROUP CORP
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AI Technical Summary

Problems solved by technology

Judging the working state of the wind turbine based on these operating states, but currently the abnormal diagnosis and processing system for the wind...

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  • Wind driven generator abnormality diagnosis and treatment system

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Embodiment Construction

[0022] In order to make it easy to understand the technical means, creative features, goals and effects achieved by the present invention, the following examples are combined with the appended figure 1 The technical solutions provided by the present invention are described in detail, but the following content is not intended as a limitation of the present invention.

[0023] A wind power generator abnormality diagnosis and processing system, comprising:

[0024] The data analysis module 10 is used to monitor the data in the first database 11 and the second database 12; the first database 11, based on SCADA monitoring parameter data, can realize the trend prediction of slowly changing signals (such as temperature) by using a trend prediction algorithm, to achieve Preset conditions can trigger abnormal warnings; the second database 12 is based on SCADA alarm records, and can mine the correlation between different abnormalities. When some precursory warnings occur, the probabilit...

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Abstract

The invention provides a wind driven generator abnormality diagnosis and treatment system, which comprises a data analysis module, an algorithm library, a fault judgment module and a knowledge base, wherein the data analysis module is used for monitoring data in a first database and a second database; the algorithm library is configured with a preset analysis algorithm; the data analysis module isused for analyzing data output by an SCADA monitoring database and an SCADA alarm record library according to the analysis algorithm in the algorithm library, and outputting early-warning information; the fault judgment module is used for generating fault judgment information according to the early-warning information; the knowledge base is configured with measure and suggestion information; andthe fault judgment module calls the corresponding measure and suggestion information from the knowledge base according to the early-warning information so as to generate the fault judgment information, and the fault judgment information comprises the measure and suggestion information. By adopting the analysis method, automatic closed-loop analysis is realized, the databases are ensured to be ableto realize data association, and the operation and maintenance efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a wind power generator abnormality diagnosis and processing system. Background technique [0002] A wind turbine is a power device that converts wind energy into mechanical work, which drives the rotor to rotate, and finally outputs alternating current. Wind turbines are generally composed of components such as wind rotors, generators (including devices), steering devices (tail fins), towers, speed-limiting safety mechanisms, and energy storage devices. The working principle of a wind turbine is relatively simple. The wind rotor rotates under the action of the wind, which converts 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. In a broad sense, wind energy is also solar energy, so it can also be said that a wind generator is a thermal energ...

Claims

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Application Information

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IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 谢晓龙许伟杨家荣郭双全
Owner SHANGHAI ELECTRICGROUP CORP
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