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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

10 January 2020, 12:01:12

Date Modified

17 December 2021, 12:12:44

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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