articleIEEE Transactions on Industrial ElectronicsDec 4, 2014GREEN OA

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

Universitat Politècnica de València · Université de Picardie Jules Verne

Indexed incrossref

Abstract

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.

Citation impact

560
total citations
FWCI
50.87
Percentile
100%
References
102
Citations per year

Authors

3

Topics & keywords

Keywords
  • Fault (geology)
  • Computer science
  • Fault detection and isolation
  • Field (mathematics)
  • State (computer science)
  • Uncountable set
  • Power (physics)
  • Reliability engineering
UN Sustainable Development Goals
  • Affordable and clean energy
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