Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

By M. Riera-Guasp, J. Antonino-Daviu, Gérard-André Capolino. IEEE transactions on industrial electronics (1982. Print), 2015

530 citations recorded by the source corpus.

Recently, research concerning electrical machines and drives condition monitoring and fault diagnosis has experienced extraordinarily dynamic activity. The increasing importance of these energy conversion devices and their widespread use in uncountable applications have motivated significant research efforts. This paper presents an analysis of the state of the art in this field. The analyzed contributions were published in most relevant journals and magazines or presented in either specific conferences in the area or more broadly scoped events.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/931a5a6ac7377e9b44d6efd1b80acedcea66a3a7

Citations in the corpus

• An Overview of Artificial Intelligence Applications for Power Electronics (2020, unknown): “occurs, the fault diagnosis [19] identifies and locates the detailed”