DREM Based DC Motor Components Fault Detection and Isolation*

机译：基于DC电机组件故障检测和隔离*

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The paper is devoted to the application of dynamic regressor extension and mixing approach (DREM) to direct current (DC) motor component fault detection and isolation. Cases of only current sensor, only velocity sensor and both sensors equipment are considered. Linear filters are used to provide model parametrization to autoregression form. Proposed solution allows to detect all component faults and isolate the following components single faults: inductance, resistance, flux and electromechanical constant, inertia momentum, back-EMF constant, friction constant. Simulation results confirm performance of the proposed approach.

机译：本文致力于使用动态回归扩展和混合方法（DREM）的应用，直接电流（DC）电机组件故障检测和隔离。仅具有电流传感器的情况，仅考虑速度传感器和两个传感器设备。线性滤波器用于向自动增加表格提供模型参数化。提出的解决方案允许检测所有部件故障并隔离下列组件单个故障：电感，电阻，通量和机电常数，惯性动量，反电动势恒定，摩擦恒定。仿真结果确认了所提出的方法的性能。

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《Mediterranean Conference on Control and Automation》|2021年|1052-1057|共6页
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Alexey Margun; Artem Kremlev; Sergey Vlasov;
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Resistance; Maximum likelihood detection; Inductance; Parameter estimation; Fault detection; Simulation; Friction;

机译：抵抗;最大似然检测;电感;参数估计;故障检测;仿真;摩擦;

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5. Principal component analysis based fault detection and isolation. [D] . Cao, Jin. 2004

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6. Smart-Sensor for the Automatic Detection of Electromechanical Faults in Induction Motors Based on the Transient Stray Flux Analysis [O] . Israel Zamudio-Ramírez, Roque Alfredo Osornio-Ríos, Jose Alfonso Antonino-Daviu, 2020

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DREM Based DC Motor Components Fault Detection and Isolation*

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