Wind power generator fault diagnosis system

Abstract

The invention relates to a wind power generator fault diagnosis system which is composed of multiple temperature sensors and piezoelectric acceleration sensors, a Zigbee communication module, a server, a wireless network, a fault diagnosis system, a personal computer, a tablet computer, an intelligent mobile phone and a photovoltaic power generation device. The wind power generator fault diagnosis system is characterized in that the multiple temperature sensors and the piezoelectric acceleration sensors are installed at important parts of a wind power generator, such as a bearing, a gear and a shaft, so as to perform data acquisition. The acquired data are transmitted to the server via the Zigbee communication module. The server is installed on the ground near the wind power generator. Data information is transmitted to the fault diagnosis system by the server via the wireless network. A data information analysis result is transmitted to the related personal computer, the tablet computer and the intelligent mobile phone in real time by the fault diagnosis system. With application of the aforementioned technical scheme, the operation state of the wind power generator can be monitored in real time and a fault can be discovered timely.

Description

technical field [0001] The invention relates to a wind power generator fault diagnosis system, in particular to a wind power generator remote monitoring and intelligent fault diagnosis system. Background technique [0002] With the large-scale use of wind turbines, especially in remote coastal areas and other rapid development, the main problem is that the faults of wind turbines are not easy to be found in time, resulting in the failure of wind turbines. And processing, often cause serious consequences, maintenance and repair will be more difficult, therefore, the real-time diagnosis of wind turbine faults has increasingly attracted people's attention. Contents of the invention [0003] The object of the present invention is to provide a fault diagnosis system for a wind power generator, which can monitor the operation status of the wind power generator in real time and find faults in time. [0004] The object of the present invention is achieved like this: the device is...

AI Technical Summary

Problems solved by technology

[0002] With the extensive use of wind turbines, especially in remote coastal areas, the main problem is that the faults of wind turbines are not easy to be found in time. It will often cause serious consequences, and maintenance and repair will be more difficult. Therefore, real-time diagnosis of wind turbine faults has increasingly attracted people's attention

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