Double Fed Induction Generator Shaft Misalignment Monitoring by FBG Frame Strain Sensing

Sinisa Durovic, Anees Mohammed, Nur Sarma, Yingzhao Wang

Research output: Contribution to journalArticlepeer-review


this study explores the potential for using FBG strain sensing to enable recognition of the shaft misalignment condition in electric machine drivetrains through observation of machine frame distributed relative strain. The sensing principles, design and installation methods of the proposed technique are detailed in the paper. The scheme was applied on a purpose built wind turbine generator representative laboratory test rig and its performance evaluated in an extensive experimental study involving a range of healthy and misaligned shaft operating conditions. The obtained experimental data demonstrate the reported method’s capability to enable recognition of generator shaft misalignment conditions and thus its health monitoring. Finally, it is shown that the thermal variation of the generator frame structure inherent to its operation, combined with the FBG sensor intrinsic thermo-mechanical cross sensitivity, has no detrimental impact on the fidelity and usability of the observed strain measurements.
Original languageEnglish
Pages (from-to)8541 - 8551
JournalIEEE Sensors Journal
Issue number15
Publication statusPublished - 30 Mar 2020


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