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Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults [dataset] Open Access

In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with a partially-rated voltage source converter connected to the rotor. This generator is a significant cause of wind turbine fault modes. In this paper, a harmonic time-stepped generator model is applied to derive wound rotor induction generator electrical & mechanical signals for fault measurement, and propose simple closed-form analytical expressions to describe them. Predictions are then validated with tests on a 30 kW induction generator test rig. Results show that generator rotor unbalance produces substantial increases in the side-bands of supply frequency and slotting harmonic frequencies in the spectra of current, power, speed, mechanical torque and vibration measurements. It is believed that this is the first occasion in which such comprehensive approach has been presented for this type of machine, with healthy & faulty conditions at varying loads and rotor faults. Clear recommendations of the relative merits of various electrical & mechanical signals for detecting rotor faults are given, and reliable fault indicators are identified for incorporation into wind turbine condition monitoring systems. Finally, the paper proposes that fault detectability and reliability could be improved by data fusion of some of these electrical & mechanical signals.

Descriptions

Resource type
Dataset
Contributors
Creator: Zappalá, Donatella 1
Contact person: Zappalá, Donatella 1
Data curator: Zappalá, Donatella 1
Editor: Zappalá, Donatella 1
Data collector: Sarma,Nur 2
Data curator: Sarma,Nur 2
Editor: Djurović, Sinisa 2
Editor: Crabtree, Christopher 1
Data collector: Mohammadb, Anees 2
Editor: Tavner, Peter 1
1 Durham University, United Kingdom
2 The University of Manchester, UK
Funder
Engineering and Physical Sciences Research Council
Research methods
Other description
Keyword
Wind turbines
Condition monitoring
Doubly-fed induction generator (DFIG)
Electrical and mechanical signature analysis
Rotor electrical unbalance
Fault indicators
Subject
Wind turbines
Electric motors, Induction
Location
Language
Cited in
Identifier
ark:/32150/r28049g5063
doi:10.15128/r28049g5063
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

File Details

Depositor
D. Zappala
Date Uploaded
Date Modified
25 June 2018, 16:06:12
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File format: x-rar (RAR archive data, v1d, os: Win32, RAR)
Mime type: application/x-rar
File size: 163069571
Last modified: 2018:06:25 15:25:41+01:00
Filename: Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults.rar
Original checksum: 825827523497b60ec38082c949020b33
Activity of users you follow
User Activity Date
User N. Syrotiuk has updated Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults [dataset] 22 days ago
User N. Syrotiuk has updated Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults [dataset] 22 days ago
User N. Syrotiuk has updated Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults [dataset] 22 days ago
User D. Zappala has updated Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults.rar 22 days ago
User D. Zappala has updated Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults.rar 22 days ago
User D. Zappala has deposited Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults.rar 22 days ago