<![CDATA[Editorial department of the Journal of National University of Defense Technology -->State Monitoring Technology for Electric Machine System]]>

<![CDATA[Editorial department of the Journal of National University of Defense Technology -->State Monitoring Technology for Electric Machine System]]> <![CDATA[Non-invasive inductance identification method for virtual voltage vector orientation of permanent magnet synchronous motor]]> d-q synchronous reference frame. Building on this, the implementation procedure for extracting virtual voltage vectors and current differential information was discussed in detail, enabling non-intrusive inductance identification without any signal injection. The effectiveness and accuracy of the proposed method were validated by comparison with offline test procedures in IEEE standards.]]> 2025/12/2 0:00:00 ZHOU Yangwei, NIE Ziling, PENG Li, ZOU Xudong, SUN Jun, LI Huayu 5true <![CDATA[Typical fault diagnosis of permanent magnet synchronous motors]]> 2025/12/2 0:00:00 HUANG Wen, LYU Ke, HU Jinghua, CHEN Junquan 4true <![CDATA[Optimization methods for key elements in intelligent diagnosis of open-circuit faults in power electronic inverters]]> 2025/12/2 0:00:00 TANG Xin, SHEN Haolan, LUO Yifei, LIU Binli, HUANG Yongle, LI Xin 3true <![CDATA[Adaptive parameter active-disturbance rejection deep reinforcement learning control strategy for permanent magnet synchronous linear motors]]> 2025/12/2 0:00:00 SONG Lin, NIE Ziling, SUN Jun, ZHOU Yangwei, LI Huayu 2true <![CDATA[Adaptive optimization design strategy for parameters of high-frequency injection method in modular multilevel converters]]> 2025/12/2 0:00:00 LOU Xujie, XIAO Fei, REN Qiang 1true