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Condition Monitoring, Advanced Topics, and Application of Big Data and IoT for Electrical Machines and Motor Drives (slides)

* 21PESGM2695, Inter-turn Fault Detection of Inductions Motors using Magnetic Leakage fluxes: S. CHANDAR, National University of Singapore * 21PESGM2696, Remote Monitoring and Diagnostics of Pitch Bearing Defects in a MW-Scale Wind Turbine Using Pitch Motor Current: D. PAN, GE Research * 21PESGM2697, Fault isolation and prognosis for electrical propulsion system of battery electric vehicles: J. ZHANG, General Motor * 21PESGM2698, Wind Turbine Drivetrain Condition Monitoring Using Generator Currents: W. QIAO, University of Nebraska-Lincoln

  • PES
    Members: $5.00
    IEEE Members: $10.00
    Non-members: $20.00
    Pages/Slides: 25
26 Jul 2021

Latest developments for design, control and condition monitoring of electrical machines. Electrical machines for special applications. Application of IoT, AI, and Big Data in electrical machines.

Chairs:
Lijun He, GE Research, Sanjib Panda, National University of Singapore
Sponsor Committees:
Electric Machinery

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    Members: Free
    IEEE Members: $60.00
    Non-members: $75.00