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
IEEE Members: $10.00
Non-members: $20.00Pages/Slides: 25
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