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Automatic fault diagnosis method of offshore wind power generation set

A fault diagnosis, offshore wind power technology, applied in wind turbine monitoring, wind turbines, machines/engines, etc., can solve problems such as untimely real-time fault alarms, reduce failure rates, reduce economic losses, and improve operating life.

Inactive Publication Date: 2017-08-18
SUN YAT SEN UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the defects of the prior art, to provide an automatic fault diagnosis method for offshore wind turbines, using wireless sensor data communication network, combined with advanced computer information technology, to solve the real-time fault alarm of the prior art and system For untimely problems, realize the trend analysis and fault warning of the operation status of offshore wind turbines

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  • Automatic fault diagnosis method of offshore wind power generation set
  • Automatic fault diagnosis method of offshore wind power generation set

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Embodiment Construction

[0020] An automatic fault diagnosis method for offshore wind turbines disclosed by the present invention uses a wireless sensor data communication network and combines advanced computer information technology to solve the problem that existing technologies and systems do not provide timely alarms for real-time faults, and realizes fault diagnosis at sea. Wind turbine operating status trend analysis and fault warning.

[0021] like figure 1 As shown, an automatic fault diagnosis method for offshore wind turbines disclosed by the present invention, the main steps of the method include:

[0022] a. Install sensors for the monitoring items on the offshore wind turbines to be diagnosed;

[0023] b. Preprocess the signal extracted by the sensor to remove useless or interference signals contained in the extracted signal;

[0024] c. Carry out specific data analysis on the signal after the preprocessing, remove the false and preserve the true;

[0025] d. Compare and analyze the am...

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Abstract

The invention discloses an automatic fault diagnosis method of an offshore wind power generation set. The method comprises the following steps: sensors of items to be monitored are mounted on an offshore wind turbine structure to be diagnosed; signals extracted by the sensors are preprocessed, and useless or disturbance signals in the extracted signals are removed; the specific data analysis is performed for the preprocessed signals to eliminate the false and retain the true; amplitudes obtained by data analysis of the signals are compared with a fault threshold set for data analysis for analysis to determine if the wind turbine structure occurs faults; and corresponding dealing measures are adopted according to the fault conditions. The method can perform instant alarm for the operating state of the offshore wind power generation set, fault analysis and prediction and alarm for potential faults, and achieves important value on reduction of sudden faults of the wind power generation set and reduction of unnecessary loss.

Description

technical field [0001] The invention relates to a fault diagnosis method, in particular to an automatic fault diagnosis method for an offshore wind turbine. Background technique [0002] Faults during the operation of wind turbines are one of the keys that affect the benefits of wind power operating companies. Generally speaking, the operation failure of wind turbines is the key factor that determines whether the wind turbine can operate stably for a long time, and its mechanism is complex and involves many factors. At present, the operation and maintenance of wind farms mainly use the monitoring of the main control system of the unit and regular inspections to understand the operating status of the unit. Due to the large amount of information that constitutes the operating status of the accessories, the calculation and processing process is complex, especially for the processing of massive data obtained at high sampling frequency, which requires a certain period of time; a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00
CPCF05B2260/80
Inventor 黄林冲梁禹黄帅
Owner SUN YAT SEN UNIV