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Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.

, , , , , , and . ICTAI, page 415-422. IEEE Computer Society, (2016)

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A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps., , , , and . INDIN, page 843-848. IEEE, (2018)Reducing power companies billing costs via empirical bayes and seasonality remover., , , , and . Eng. Appl. Artif. Intell., (2019)NP-Hardness of minimum expected coverage., , , and . Pattern Recognit. Lett., (2019)Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles., , , , , , and . Integr. Comput. Aided Eng., 18 (1): 61-74 (2011)An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals., , , , and . Expert Syst. Appl., (2021)A Multi-measure Nearest Neighbor Algorithm for Time Series Classification., , and . IBERAMIA, volume 5290 of Lecture Notes in Computer Science, page 153-162. Springer, (2008)Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks., , , , , , , , , and 3 other author(s). I2MTC, page 336-341. IEEE, (2014)Compiling Default Theory int Extended Logic Programming., , and . IBERAMIA-SBIA, volume 1952 of Lecture Notes in Computer Science, page 207-216. Springer, (2000)A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept., and . CEC, page 2718-2723. IEEE, (2016)Monthly energy consumption forecast: A deep learning approach., , , , and . IJCNN, page 4283-4290. IEEE, (2017)