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Condition Monitoring and Failure Prevention of Electric Machines

Condition Monitoring and Failure Prevention of Electric Machines

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This is a reprint of a Special Issue of Energies, titled "Condition Monitoring and Failure Prevention of Electric Machines". This Special Issue primarily focused on the issues related to the advanced monitoring, diagnosis, and prevention of typical and complex faults in all kinds of electric machines. Four guest editors, namely Prof. Yu-Ling He (Department of Mechanical Engineering, North China Electric Power University, China), Prof. David Gerada (PEMC group, University of Nottingham, UK), Prof. Conggan Ma (School of Automotive Engineering, Harbin Institute of Technology, China), and Prof. Haisen Zhao (School of Electrical and Electronics Engineering, North China Electric Power University, China), worked together on this Special Issue.

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Keywords

  • anomaly detection
  • Artificial Neural Networks
  • circulating current inside parallel branches (CCPB)
  • condition monitoring
  • contrast estimation
  • deep neural network
  • demagnetization
  • direct torque control
  • doubly fed induction generator (DFIG)
  • dynamic modeling
  • dynamic rotor interturn short circuit (DRISC)
  • eccentricity
  • Economics, finance, business & management
  • Efficiency
  • electromagnetic torque (EMT)
  • Energy industries & utilities
  • fault diagnosis
  • field oriented control
  • field-oriented control
  • genetic algorithm
  • harmonic component
  • high resistance connection
  • History of engineering & technology
  • hybrid surrogate model
  • hydro-turbine modeling
  • hydropower
  • hydropower plants
  • in situ efficiency
  • induction motors
  • Industry & industrial studies
  • kriging
  • lack of abnormal samples
  • line start permanent magnet assisted synchronous reluctance motor
  • linear motor feeding system
  • long short-term memory (LSTM) network
  • magneto-motive force (MMF)
  • mathematical modeling
  • parameter identification
  • performance optimization
  • permanent magnet synchronous machine
  • power factor curve valley
  • power supply systems
  • pulse-jet cleaning
  • QPSO-TRA
  • quantum particle swarm optimization
  • radial dynamic air-gap eccentricity (RDAGE)
  • radial hybrid air-gap eccentricity (RHAGE)
  • radial static air-gap eccentricity (RSAGE)
  • RBF
  • rotor slot harmonics frequencies
  • semi-supervised anomaly detection generative adversarial network (GANomaly)
  • short-circuited turns
  • supervised classification
  • symmetrical components
  • synchronous generator
  • Technology, engineering, agriculture
  • Technology: general issues
  • thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
  • transformer fault
  • transient processes
  • trust region algorithm
  • turn-to-turn short circuit
  • unbalanced load
  • unbalanced load flows
  • vibroacoustic signals
  • water flow inertia
  • whole load region

Links

DOI: 10.3390/books978-3-0365-9396-8

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