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Wind turbine generator fault diagnosis method and system based on case reasoning

A wind turbine and fault diagnosis technology, applied in general control systems, control/regulation systems, information technology support systems, etc., can solve problems such as small coverage, low sampling rate of SCADA system, and inability to accurately locate fault types, and achieve the realization of Accurate positioning and accurate effect

Active Publication Date: 2021-12-07
XI AN JIAOTONG UNIV
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Problems solved by technology

Among them, the CMS system only monitors the bearings and gears on the main transmission chain, and the coverage is limited, which cannot fully reflect the health status of the unit
[0004] Compared with the CMS system, the SCADA system has a wider monitoring range and basically covers the main components of each subsystem of the unit. However, the sampling rate of the SCADA system is low, and a large number of fault alarm codes will be generated when a fault occurs. Difficult to accurately locate the fault type

Method used

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  • Wind turbine generator fault diagnosis method and system based on case reasoning
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  • Wind turbine generator fault diagnosis method and system based on case reasoning

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Embodiment Construction

[0052] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0053] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention belongs to the technical field of wind turbine generator fault diagnosis and monitoring, and discloses a wind turbine generator fault diagnosis method and system based on case reasoning. The method comprises the steps of obtaining a fault alarm sequence of a to-be-diagnosed fault; according to the fault alarm sequence of the to-be-diagnosed fault, obtaining cases in which the similarity between the fault alarm sequence and the fault alarm sequence of the to-be-diagnosed fault is higher than a preset value, and obtaining a plurality of candidate source cases; obtaining fault types of the plurality of candidate source cases; when the fault types of the plurality of candidate source cases are the same, taking the fault type of the candidate source cases as the fault type of the fault to be diagnosed; otherwise, obtaining fault moment operation state data of the to-be-diagnosed fault, obtaining a candidate source case with the highest similarity between the fault moment operation state data and the fault moment operation state data of the to-be-diagnosed fault from the plurality of candidate source cases, and taking the fault type of the candidate source case as the fault type of the to-be-diagnosed fault, thereby achieving accurate determination of the fault type and the fault source.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and monitoring of wind power generators, and relates to a method and system for fault diagnosis of wind power generators based on case reasoning. Background technique [0002] The structure of the wind turbine is complex, the working conditions are harsh, and various faults are prone to occur in the long-term operation under the condition of variable wind speed and load. Operation and maintenance costs. [0003] At present, the relatively mature monitoring systems in the wind power industry include Condition Monitoring System (CMS) and Supervisory Control And Data Acquisition (SCADA). Among them, the CMS system only monitors the bearings and gears on the main transmission chain, and the coverage is limited, so it cannot fully reflect the health status of the unit. [0004] Compared with the CMS system, the SCADA system has a wide monitoring range and basically covers the main components ...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065Y04S10/52Y02E10/72
Inventor 侯成刚杨涛张全林
Owner XI AN JIAOTONG UNIV