Electric motor defects diagnosis based on kernel density estimation and Kullback–Leibler divergence in quality control scenario - Concepedia

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Electric motor defects diagnosis based on kernel density estimation and Kullback–Leibler divergence in quality control scenario

DOI Full Paper Access

35

Citations

27

References

2015

Year

Francesco Ferracuti, Andrea Giantomassi, Sabrina Iarlori, Gianluca Ippoliti, Sauro Longhi

Engineering Applications of Artificial Intelligence

Fault DiagnosisCondition MonitoringReliability EngineeringEngineeringFault EstimationQuality Control ScenarioDiagnosisSystems EngineeringElectric Motor DefectsFault DetectionStatisticsKernel Density Estimation

References

	Year	Citations

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