A group-level wind turbine status monitoring and fault diagnosis platform

Abstract

The invention relates to a platform for state monitoring and fault diagnosis of group-level wind turbines. The feature of the present invention is: the user of this platform includes wind field layer, regional layer and group layer, and this platform includes data collection and processing module, data storage and transmission module, and data analysis and application module; The collection mode of data collection and processing module includes Offline collection and online collection, the data storage and transmission module includes data storage and transmission, using data thinning technology to reduce the pressure of data storage and transmission, the data analysis and application module calls the relevant data of the platform through a unified and open interface, uses The analysis of different APP application modules realizes the functions of equipment performance analysis, equipment health diagnosis, fault diagnosis and information release. The invention can comprehensively and effectively evaluate the state of wind power, and realize intelligent management of wind power generation projects at three levels of wind farms, regions and groups.

Description

technical field [0001] The present invention relates to a wind turbine status monitoring and fault diagnosis platform, in particular to a group-level wind turbine status monitoring and fault diagnosis platform, which belongs to the field of wind power generation. Through data collection, data transmission and storage, and data analysis, the group-level Condition monitoring and fault diagnosis of wind power generation equipment. Background technique [0002] At present, the problems of global warming and environmental pollution are serious, and mineral energy is becoming less and less. As a clean energy, wind energy has been valued by many countries in the world, especially Western countries such as Spain, Denmark, Germany, and the United States. Many countries are investing more and more in wind power generation. Although my country's wind power generation started relatively late, it has developed rapidly. As of October 2014, the national wind power grid-connected installe...

AI Technical Summary

Problems solved by technology

At present, the group company has 20 brands of units in service, each of which has various types of units, most of which are imported from abroad or licensed for production. The design, manufacture and integration technologies of fan equipment are different, and unified management of equipment is troublesome, requiring operators Master a variety of equipment technology and management knowledge

[0006] (3) Frequent equipment failures and heavy maintenance workload

However, through investigation, it is found that most of the fault diagnosis systems that have been put into use at present are for vibration signals and acoustic emission signals, and only for mechanical components, and cannot realize electrical and performance fault diagnosis

[0009] Although there are also new wind turbine condition monitoring and fault diagnosis equipment, as disclosed on October 15, 2014, the Chinese patent with the announcement number CN203881539U discloses a wind turbine condition monitoring and fault diagnosis device. An acceleration sensor is arranged on the front and rear sides of the input shaft of the gearbox test bench, and an acceleration sensor is arranged on the front side of the output shaft, and a proximity switch is arranged on the input shaft and the output shaft respectively, which are used to test the speed of the input shaft and output shaft of the gearbox, all through the signal transmission line Connected to the PXI platform, the PXI platform communicates with the online monitoring center through a network cable; the PXI platform includes a signal acquisition and conditioning module, and a PXI controller; this device cannot comprehensively and effectively evaluate the status of wind power

[0010] To sum up, there is currently no group-level wind turbine status monitoring and fault diagnosis platform that can comprehensively and effectively evaluate the status of wind power and realize intelligent management of wind power generation projects at the three levels of wind farms, regions and groups

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