Fault detection of broken rotor bar in LS-PMSM using random forests

• Main Authors: Quiroz, Juan C., Mariun, Norman, Mehrjou, Mohammad Rezazadeh, Izadi, Mahdi, Misron, Norhisam, Mohd Radzi, Mohd Amran
• Format: Article
• Language: English
• Published: Elsevier 2018
• Online Access: http://psasir.upm.edu.my/id/eprint/72740/1/Fault%20detection%20of%20broken%20rotor%20bar%20in%20LS-PMSM%20using%20random%20forests.pdf; http://psasir.upm.edu.my/id/eprint/72740/; https://www.sciencedirect.com/science/article/abs/pii/S0263224117307066

This paper proposes a new approach to diagnose broken rotor bar failure in a line start-permanent magnet synchronous motor (LS-PMSM) using random forests. The transient current signal during the motor startup was acquired from a healthy motor and a faulty motor with a broken rotor bar fault. We extr...