A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems
A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems
复制标题
永磁同步电机驱动系统三相逆变器数据驱动故障诊断方法
DOI：
10.1109/tpel.2016.2608842
复制
发表时间：
2017-07-01
影响因子：
6.7
通讯作者：
Xie, Min
中科院分区：
文献类型：
--
作者：
Cai, Baoping;Zhao, Yubin;Xie, Min
Permanent magnet synchronous motor and power electronics-based three-phase inverter are the major components in the modern industrial electric drive system, such as electrical actuators in an all-electric subsea Christmas tree. Inverters are the weakest components in the drive system, and power switches are the most vulnerable components in inverters. Fault detection and diagnosis of inverters are extremely necessary for improving drive system reliability. Motivated by solving the uncertainty problem in fault diagnosis of inverters, which is caused by various reasons, such as bias and noise of sensors, this paper proposes a Bayesian network-based data-driven fault diagnosis methodology of three-phase inverters. Two output line-to-line voltages for different fault modes are measured, the signal features are extracted using fast Fourier transform, the dimensions of samples are reduced using principal component analysis, and the faults are detected and diagnosed using Bayesian networks. Simulated and experimental data are used to train the fault diagnosis model, as well as validate the proposed fault diagnosis methodology.
