Condition Monitoring, Advanced Topics, and Application of Big Data and loT for Electrical Machines and Motor Drives - Part 2
* 21PESGM2691, Electrified Aircraft Propulsion System: K. YOUNSI, GE Research * 21PESGM2692, Deep learning applications to bearing health monitoring: S. ZHANG, Joby Aviation * 21PESGM2693, High-frequency inductance measurement for health assessment of transformer windings: P. MUKHERJEE, National University of Singapore * 21PESGM2694, Real-Time Hierarchical NN Based FDI for High-Speed Railway System Under Hybrid AC DC Grid: Q. LIU, Beijing Jiaotong University, T. LIANG, University of Alberta, V. DINAVAHI, University of Alberta
-
PES
IEEE Members: $10.00
Non-members: $20.00
Latest developments for design, control and condition monitoring of electrical machines. Electrical machines for special applications. Application of loT, AI, and Big Data in electrical machines.
Chairs:
Lijun He, GE Research, Sanjib Panda, National University of Singapore
Sponsor Committees:
Electric Machinery