首页|Study Results from Hunan Railway Professional Technology College Broaden Underst anding of Computational Intelligence (Robust Detection for Demagnetization Fault in the Permanent-Magnet Synchronous Motor Using Improved Sliding-Mode Observer)

Study Results from Hunan Railway Professional Technology College Broaden Underst anding of Computational Intelligence (Robust Detection for Demagnetization Fault in the Permanent-Magnet Synchronous Motor Using Improved Sliding-Mode Observer)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on computational intellig ence is the subject of a new report. Accordingto news reporting out of Hunan, P eople’s Republic of China, by NewsRx editors, research stated, “Thispaper inves tigates a robust detection for demagnetization fault in the permanent-magnet syn chronousmotor (PMSM).”

Hunan Railway Professional Technology Co llegeHunanPeople’s Republic of ChinaAsiaComputational IntelligenceMach ine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.2)