State early warning method and system for abnormal vibration of wind generating set

Abstract

The invention relates to a state early warning method and system for abnormal vibration of a wind generating set. The method comprises the following steps of: acquiring and storing machine set data; carrying out difference examination, and performing difference comparison on an acquired generator rotating speed transient value of each machine set and the generator rotating speed transient values of other machine sets and / or former records of the machine set; outputting a vibration state, and outputting the vibration state corresponding to the machine set with oversized difference. The system comprises a data acquisition and storage module, a difference examination module and a vibration state output module. Through a way of combining mathematical statistics with computer mode identification, the technical effect of reducing influence from noise data to judgment of the abnormal state is reduced, accordingly, robustness and accuracy of the early warning system are improved, convenience is also brought to customization of an early warning mechanism with better pertinency for fans with different configurations and in different environments, and the state early warning method and system for abnormal vibration of the wind generating set are suitable to be widely generalized and used.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a state warning method and system for abnormal vibration of a wind power generating set. Background technique [0002] The continuous improvement of unit vibration status monitoring and fault diagnosis technology is one of the important research topics in the field of wind power generation. [0003] Chinese patent No. 200810118822.4 discloses a "method for vibration monitoring and fault diagnosis of wind power generating units". The component bus module sends the characteristic value data to the receiving module and stores it in the data center; the threshold curve is set in the data center, and the characteristic value data continues to grow. When the threshold value is exceeded, the receiving module will receive a trend warning. Carry out trend warning, when the threshold value continues to be exceeded, the receiving module will issue a status warning; establish ...

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Problems solved by technology

[0004] In practical application, it is found that the above-mentioned vibration monitoring and fault diagnosis method has the following deficiencies: it uses time-domain eigenvalues ​​and frequency-domain eigenvalues ​​to judge the fault state, which is used to directly collect real-time data observation values, and will inevitably be affected by noise data. impact, thereby reducing the reliability and robustness of the system

[0005] It can be seen that the above-mentioned existing abnormal state warning technology of wind turbine vibration obviously still has inconvenience and defects in method and use, and needs to be further improved urgently.

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