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Draught fan state estimation method and system

A state estimation and wind turbine technology, applied in computer-aided design, calculation, design optimization/simulation, etc., can solve the problems of high misjudgment rate of wind turbine fault diagnosis methods, improve fault diagnosis rate, improve maintenance efficiency, and reduce maintenance losses Effect

Active Publication Date: 2017-09-29
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for fan state estimation, which is used to solve the problem of high misjudgment rate of fan fault diagnosis methods in the prior art

Method used

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  • Draught fan state estimation method and system
  • Draught fan state estimation method and system

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] figure 1 It is a flow chart of an embodiment of a wind turbine state estimation method in the present invention. Such as figure 1 As shown, a wind turbine state estimation method includes:

[0057] Step ...

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Abstract

The invention discloses a draught fan state estimation method and system. The method comprises the steps that online operation data of a draught fan is obtained; the online operation data is preprocessed, and time series data is obtained; whether or not the time series data shows that the draught fan is in a failure state through an online state monitoring model is judged, and a judging result is obtained; when the judging result shows that the draught fan is not in a failure state, the output detection result is health; when the judging result shows that the draught fan is in the failure state, the time series data showing that the draught fan is in the failure state is marked, and a failure detection sample is obtained; the failure type corresponding to the failure detection sample is determined through the online failure detection module; the failure type is output. Accordingly, the time series data is adopted as an input detection sample, compared with single state information, the time sequence is achieved, the time series data is more real, time-varying information of a draught fan system can be reflected, and the failure diagnosis rate of the draught fan is increased.

Description

technical field [0001] The invention relates to the field of wind turbine fault diagnosis, in particular to a method and system for wind turbine state estimation. Background technique [0002] With the rapid development of the wind power market and the intensification of competition, wind power companies are increasingly feeling the pressure of operating costs, and are eager to reduce operating costs as much as possible on the premise of ensuring the safe operation of the units, and through more effective use and maintenance and maintenance services, reducing unplanned unit outages and equipment failures is an effective means to reduce operating costs. [0003] A wind turbine usually has a service life of nearly 20 to 25 years. During this period, "whether" needs to be repaired is no longer a problem, but "when" is the key to attention. Therefore, wind power companies and wind power equipment manufacturers have an urgent need for online status monitoring and performance eva...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20G06F2117/02G06F2119/12
Inventor 翟永杰刘业鹏张木柳李海森刘金龙陈瑞
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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