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Prostate cancer is one of the most common malignancies in men, and it urgently demands precise interventions that target the signaling pathways implicated in its initiation, progression, and metastasis. The Notch‐1 signaling pathway is closely associated with the pathophysiology of prostate cancer. This study investigated the antitumor effects and mechanisms of curcumin, which is a well‐known natural...
This paper proposes a methodology of phase to phase short-circuits fault diagnosis in permanent magnet synchronous motors (PMSM). The integrated network basis of such a method is composed with a BP network and two Elman networks. The three sub-networks respectively output their own result. A special simulation was applied to find relevant fault. The experimental data acquired by data acquisition system...
This paper analyzes the characteristics of the inter-turn short circuit fault based on the permanent magnet synchronous motor (PMSM) structure algorithm. The finite element model of the PMSM inter-turn short circuit fault is established for the electric vehicle application. Simulations are performed on healthy motor and faulty motor with different severity of short circuit faults and operate modes...
For the need of verifying the control algorithm of PMSM-AMT driven electric vehicle, the electric vehicle model was developed based on Matlab/Simulink. The model adopts a modular design, not only gives the kinetic model equations and the module modeling method, but also showns the detailed analysis of the kinetic model of AMT system. The state space equation of the AMT system was established. The...
This paper presents a review of Permanent Magnet Synchronous Motor (PMSM) fault diagnosis methods. Firstly, PMSM usual faults including electrical, mechanical, and magnetic faults are listed. In the third part, the various signal processing methods for PMSM are summarized. Finally, the artificial intelligence methods for PMSM fault diagnosis are reviewed, such as artificial neural network, fuzzy logic.
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