Analytical and diagnostic method for running states of wind turbines

Abstract

The invention provides an analytical and diagnostic method for running states of wind turbines. The method comprises the steps of data transmission, model-based state evaluation, state monitoring and data storage. The method and system of the embodiment of the invention adopt a model of an internet-based distant early warning diagnostic center, which can not only carry out analysis and diagnosis to data of large-scale wind turbine equipment in a centralized manner, but also fully utilize limited human resources of experts and various professional analytical tools to carry out deep analysis to typical and common faults in the running processes of wind turbines. Through the realization of the architecture of the system, a real-time and effective communication network can be built among wind turbine manufacturers and operators as well as experts on wind turbine failure diagnosis, the production quality of the wind turbine manufactures can be improved, and an effective technical support platform is provided for the wind turbine operators to operate and maintain the wind turbines more efficiently.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and system for analyzing and diagnosing the running state of a wind turbine. Background technique [0002] With the increasing depletion of energy and increasing pollution, renewable energy and clean energy are getting more and more attention. Wind power generation or wind power generation is a clean renewable energy, and the operating cost of wind turbines is low. Therefore, wind power technology and equipment is an important part of the wind power industry, and it is also the foundation and guarantee for the development of the wind power industry. [0003] Although wind power has the advantages of being clean, renewable, and low-cost, it also has defects such as high geographical requirements and being distributed in the wild. Therefore, how to collect data from wind power equipment is the basis for automatic management and data monitoring. At present, many win...

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Problems solved by technology

[0003] Although wind power has the advantages of being clean, renewable, and low-cost, it also has defects such as high geographical requirements and being distributed in the wild. Therefore, how to collect data from wind power equipment is the basis for automatic management and data monitoring

At present, many wind power equipment manufacturers and research institutions at home and abroad have adopted traditional equipment vibration monitoring and analysis technologies (TSI, TDM system technology) for wind turbine fault diagnosis. These technologies can only provide real-time data display and analysis of wind turbine measurement point parameters. It is impossible to quantitatively evaluate the overall operation status of wind turbines, and it is also impossible to provide early warning and diagnosis in the early stage of accident signs in wind turbines.

At the same time, most of these systems operate in a single-site mode, which cannot take advantage of the centralized analysis and diagnosis of wind turbine large-scale data. On the one hand, a large amount of human resources are wasted; on the other hand, it is difficult to make full use of the existing diagnostic analysis results.

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