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Feature models and condition visualization for rotating machinery fault diagnosis.

, , , and . ICECS, page 265-268. IEEE, (2013)

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A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps., , , , and . INDIN, page 843-848. IEEE, (2018)Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals., , , and . INDIN, page 127-132. IEEE, (2015)Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump., , , , , and . ISIE, page 1807-1812. IEEE, (2017)Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis., , , , , and . IJCNN, page 3347-3354. IEEE, (2017)One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps., , , , , and . SIBGRAPI, page 402-408. IEEE, (2021)Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods., , , , , , and . ICTAI, page 415-422. IEEE Computer Society, (2016)Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration., , , and . ICECS, page 477-480. IEEE, (2013)Automatic diagnosis of submersible motor pump conditions in offshore oil exploration., , , , and . IECON, page 5537-5542. IEEE, (2013)Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions., , , and . INDIN, page 67-72. IEEE, (2014)Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis., , , , , and . Expert Syst. Appl., (2023)