A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR

no code implementations • 8 Nov 2022 • Lei Kou, Xiao-dong Gong, Yi Zheng, Xiu-hui Ni, Yang Li, Quan-de Yuan, Ya-nan Dong

The current sensor faults may bring hidden danger or damage to the whole system; therefore, this paper proposed a random forest (RF) and current fault texture feature-based method for current sensor fault diagnosis in three-phase PWM VSR systems.

Fault Detection

Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features

no code implementations • 2 Nov 2022 • Lei Kou, Chuang Liu, Guo-wei Cai, Jia-ning Zhou, Quan-de Yuan

A three-phase pulse-width modulation (PWM) rectifier can usually maintain operation when open-circuit faults occur in insulated-gate bipolar transistors (IGBTs), which will lead the system to be unstable and unsafe.

Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches

no code implementations • 31 Oct 2022 • Lei Kou, Chuang Liu, Guo-wei Cai, Jia-ning Zhou, Quan-de Yuan, Si-miao Pang

Finally, the diagnosis results of online fault diagnosis experiments show that the proposed classifier can locate the open-circuit fault of IGBTs in NPC inverter under the conditions of different loads.