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dc.contributor.authorKhazaeli Moghadam, Farid
dc.contributor.authorNejad, Amir R.
dc.date.accessioned2021-10-22T08:52:25Z
dc.date.available2021-10-22T08:52:25Z
dc.date.created2021-05-31T10:58:04Z
dc.date.issued2021
dc.identifier.citationJournal of Sound and Vibration. 2021, .en_US
dc.identifier.issn0022-460X
dc.identifier.urihttps://hdl.handle.net/11250/2824933
dc.description.abstractThis paper provides an analytical proof and the theoretical development of the idea of using the torsional vibration measurements for a system-level condition monitoring of the drivetrain system. The method relies on modal parameter estimation of the drivetrain system by using the torsional measurements and subsequent monitoring of the variations in the system eigenfrequencies and normal modes. Angular velocity error function extracted from encoder outputs at both input and output of drivetrain is used to estimate modal parameters including natural frequencies and damping coefficients. In the proposed condition monitoring approach, it is shown that any abnormal deviation from the reference values of the drivetrain system dynamic properties can be translated into the progression of a specific fault in the system. In order to extract the condition monitoring features, local sensitivity analysis is engaged to establish a relationship between different categories of drivetrain faults with the system dynamic properties and the amplitude of torsional response, which helps with both to identify the state of the progressive faults and to localize them. Local sensitive analysis shows that abnormal deviations in stiffness and moment of inertia due to the presence of faults result in considerable changes in natural frequencies and modal responses which can be measured and used as fault detecting features by using the proposed analytical approach. Sensitivity analysis is also employed along with the estimated modal frequency for estimation of modal damping from the amplitude of response at the natural frequencies and their subsequent use for estimation of undamped natural frequencies which are later used in the proposed condition monitoring approach. The proposed approach is computationally inexpensive and can be implemented without additional instrumentation. Two test cases, using 10 MW simulated and 1.75 MW operational drivetrains have been demonstrated.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTheoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber37en_US
dc.source.journalJournal of Sound and Vibrationen_US
dc.identifier.doihttps://doi.org/10.1016/j.jsv.2021.116223
dc.identifier.cristin1912778
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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