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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

25 June 2018, 14:06:21

Date Modified

25 June 2018, 16:06:12

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Characterization

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