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Online Monitoring of Marine Turbine Insulation Condition Based on High Frequency Models - Methodology for finding the ' best ' identification protocol

机译：基于高频模型的船舶涡轮绝缘状态在线监测 - 寻找“最佳”识别协议的方法

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机译：国际观众

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Ferdjallah-Kherkhachi Esseddik; Schaeffer Emmanuel; Loron Luc; Benbouzid Mohamed;
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年度 2014
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正文语种 en
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入库时间 2022-08-20 21:01:35

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3. Time growing frequency sweep signal based insulation condition monitoring in frequency domain spectroscopy [J] . A. K. Pradhan, B. Chatterjee, D. Dey, IEEE Transactions on Dielectrics and Electrical Insulation . 2016,第4期

机译：频域光谱中基于时间增长频率扫描信号的绝缘状态监测
4. Online monitoring of marine turbine insulation condition based on high frequency models: Methodology for finding the "best" identification protocol [C] . Ferdjallah-kherkhachi E., Schaeffer E., Loron L., Annual Conference of the IEEE Industrial Electronics Society . 2014

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5. Numerical investigation of Marine Hydrokinetic Turbines: methodology development for single turbine and small array simulation, and application to flume and full-scale reference models. [D] . Javaherchi Mozafari, Amir Teymour. 2014

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6. Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis [O] . Harsh S. Dhiman, Dipankar Deb, James Carroll, 2020

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Online Monitoring of Marine Turbine Insulation Condition Based on High Frequency Models - Methodology for finding the ' best ' identification protocol

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