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Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] Open Access

This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the upper sidebands of the supply frequency harmonics; however, the specific location of these peaks may shift depending on the wind turbine speed. As wind turbines tend to operate under variable speed conditions, it may be difficult to predict where these fault-related peaks will occur. To accommodate for variable speeds and resulting shifting frequency peak locations, previous works have introduced methods to identify or track the relevant frequencies, which necessitates an additional set of processing algorithms to locate these fault-related peaks prior to any fault analysis. In this work, a simplified method is proposed to instead bypass the issue of variable speed (and shifting frequency peaks) by introducing a set of bandpass filters that encompass the ranges in which the peaks are expected to occur. These filters are designed to capture the fault-related spectral information to train a classifier for automatic fault detection, regardless of the specific location of the peaks. Initial experimental results show that this approach is robust against variable speeds, and further shows good generalisability in being able to detect faults at speeds and conditions that were not presented during training. After training and tuning the proposed fault detection system, the system was tested on ‘unseen’ data and yielded a high classification accuracy of 97.4%, demonstrating the efficacy of the proposed approach.

Descriptions

Resource type
Dataset
Contributors
Data curator: Brigham, Katharine 1
Creator: Zappalá, Donatella 1
Contact person: Zappalá, Donatella 1
Data collector: Zappalá, Donatella 1
Editor: Zappalá, Donatella 1
Contact person: Crabtree, Christopher J. 1
1 Durham University, Department of Engineering
Funder
Engineering and Physical Sciences Research Council
Research methods
Other description
Keyword
automated fault detection
condition monitoring
generator rotor electrical asymmetry
wind turbine
speed invariance
Subject
Location
Language
Cited in
Identifier
ark:/32150/r2gq67jr17c
doi:10.15128/r2gq67jr17c
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

File Details

Depositor
D. Zappala
Date Uploaded
Date Modified
10 January 2020, 13:01:35
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File format: zip (ZIP Format)
Mime type: application/zip
File size: 350158694
Last modified: 2020:01:10 12:41:44+00:00
Filename: Generator Rotor Electrical Asymmetry Test Rig Experiments.zip
Original checksum: 25116de6ed157ed1808f1fd5f9fad548
Activity of users you follow
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User N. Syrotiuk has updated Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] 9 months ago
User D. Zappala has updated Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] 9 months ago
User D. Zappala has updated Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] 9 months ago
User D. Zappala has updated Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] 9 months ago
User D. Zappala has updated Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset] 9 months ago
User D. Zappala has deposited Generator Rotor Electrical Asymmetry Test Rig Experiments.zip 9 months ago