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Multi-mode Vibration Suppression for Electric Machines using Passive Dynamic Vibration Absorbers Mounting on Stator Outer Peripheral 27

Multi-mode Vibration Suppression for Electric Machines using...

引用

27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Funasaka, Naho Isobe, Makoto Kosaka, Takashi Graduate School of Eng. Nagoya Institute of Technology Electrical and Electronic Program Faculty of Eng. Japan

ISBN: (纸本)9784886864406

This paper presents multi-mode vibration suppression of electromechanical systems using a passive dynamic vibration absorber attached to a stator outer peripheral of an electric machine. The principle of vibration generation in an electric motor is explained. Subsequently, the structure and design procedure of passive dynamic vibration absorber for each vibration mode. The arrangement of these passive dynamic vibration absorbers on the stator periphery is then examined. Finally, the multi-mode vibration suppression effect is validated through hammering tests using a stator core with fabricated passive dynamic vibration absorbers attached. © 2024 The Institute of Electrical eng.neers of Japan.

关键词： Stators

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Design Study on High Power Density Quasi-Coreless PMSM for Vehicle Traction Drive Rotating at 50,000r/min as the Maximum Speed 27

Design Study on High Power Density Quasi-Coreless PMSM for V...

引用

27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Ishihara, Teruchika Sakuma, Ayaka Kosaka, Takashi Graduate School of Eng. Nagoya Institute of Technology Electrical and Electronic Program Faculty of Eng. Japan

ISBN: (纸本)9784886864406

This paper presents a design study on high-power density quasi-coreless permanent magnet synchronous motor for vehicle traction drives rotating at 50,000r/min as the maximum speed. Stator body is composed of carbon fiber reinforced plastic, a small amount of soft magnetic composite core and aluminum windings. Rotor body consists of carbon fiber reinforced plastic frame and polar anisotropic magnet. FEA-base feasibility study on the quasi-coreless motor with high power density and reduced losses are investigated, targeting the maximum speed of 50,000 r/min, the maximum power of 150 kW and the power density more than 10 kW/kg. © 2024 The Institute of Electrical eng.neers of Japan.

关键词： Permanent magnets

来源：评论

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Design Study on Hybrid Excitation Generator for Micro-hydroelectric System 27

Design Study on Hybrid Excitation Generator for Micro-hydroe...

引用

27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Maruyama, Kazuto Kosaka, Takashi Kato, Yasushi Yamamoto, Naoki Yasuda, Yoshiki Yamagiwa, Akio Graduate School of Eng. Nagoya Institute of Technology Electrical and Electronic Program Faculty of Eng. Nagoya Japan Technology and Innovation Center Daikin Industries Ltd. Osaka Settsu Japan

ISBN: (纸本)9784886864406

This paper presents design study on a hybrid excitation machine as a generator for a micro-hydroelectric system. A hybrid excitation generator is a kind of variable flux machines and has two mmf sources such as a perma-nent magnet and the field excitation coil that enables to ad-just a total amount of airgap field flux produced by two mmf sources. With the variable field flux capability, a hy-brid excitation generator promises to expand high torque operating range at low speed region while keeping operating power range at middle and high-speed region as required in the target application under given maximum voltage and current restrictions. Application-oriented design of hybrid excitation generator under given design constraints and specifications using finite element electromagnetic analysis is conducted. As a result, it is confirmed that the designed hybrid excitation generator meets the requirement for a target micro-hydroelectric system. © 2024 The Institute of Electrical eng.neers of Japan.

关键词： Hydroelectric generators

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Modelling for PWM Carrier Loss Evaluation in Claw-pole Machine using MATLAB/Simulink 27

Modelling for PWM Carrier Loss Evaluation in Claw-pole Machi...

引用

27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Okunishi, Yusuke Kosaka, Takashi Hirai, Yu Miyama, Yoshihiro Arita, Hideaki Graduate School of Eng. Nagoya Institute of Technology Electrical and Electronic Program Faculty of Eng. Nagoya Japan Mitsubishi Electric Corporation Advanced Technology R&d Center Amagasaki Japan

ISBN: (纸本)9784886864406

This paper proposes an evaluation model for PWM carrier loss in claw-pole machines employed for ISG applications under dual three-phase drive. The PWM carrier loss is evaluated based on PWM carrier voltage waveform and high-frequency impedance. The proposed model is composed of the equivalent circuit model that uses machine parameters measured from an actual machine, and PWM carrier loss is evaluated using the PWM carrier voltage wave-form obtained from the propose model and the measured high-frequency impedance. The validity of the proposed model is examined by comparing the model-based evaluation results with the experimental results. © 2024 The Institute of Electrical eng.neers of Japan.

关键词： MATLAB

来源：评论

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Building Energy Consumption Prediction: A Machine Learning Approach with Feature Selection 10

Building Energy Consumption Prediction: A Machine Learning A...

引用

10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Liu, Linfeng.Juwono, Filbert H. Wong, W.K. Liu, Huanyu Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China Xi'an Jiaotong-Liverpool University Dept. of Electrical and Electronic Eng. Suzhou China Curtin University Malaysia Dept. of Electrical and Computer Eng. Miri Malaysia

ISBN: (纸本)9798350363104

Building energy management system is required to achieve sustainable energy in the context of global environmental and climate change challeng.s. Energy consumption prediction is a typical procedure used to manage the energy consumption in buildings. By accurately predicting energy consumption, the effectiveness of various energy-saving measures can be assessed, and corresponding optimization strategies can be developed. This paper presents a machine learning-based energy consumption prediction in buildings. We evaluate nine machine learning models to predict energy consumption. There are 52 features characterizing the dataset, such as the building's energy rating, environmental impact, number of rooms, and lighting descriptions. These features are selected based on their potential relevance to energy consumption, and cover the physical properties of the building, energy usage characteristics and equipment parameters, thus providing the basis for a comprehensive analysis. By performing feature selection using mutual information, we can reduce the number of features into eight, thereby reducing the complexity of the models. The model evaluation is performed using the coefficient of determination, R2 and the Root Mean Square Error (RMSE) metrics. Simulation results show that selecting the features can reduce the complexity of the model while resulting in relatively acceptable performance. © 2024 IEEE.

关键词： Green buildings

来源：评论

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Multi-mode Vibration Suppression for Electric Machines using Passive Dynamic Vibration Absorbers Mounting on Stator Outer Peripheral

Multi-mode Vibration Suppression for Electric Machines using...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Naho Funasaka Makoto Isobe Takashi Kosaka Electrical and Electronic Program Faculty of Eng. Graduate School of Eng. Nagoya Institute of Technology Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

关键词： Vibrations Damping Stator cores Reviews Prototypes Resonance Electromechanical systems Electric motors

来源：评论

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Design Study on High Power Density Quasi-Coreless PMSM for Vehicle Traction Drive Rotating at 50,000r/min as the Maximum Speed

Design Study on High Power Density Quasi-Coreless PMSM for V...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Teruchika Ishihara Ayaka Sakuma Takashi Kosaka Electrical and Electronic Program Faculty of Eng. Graduate School of Eng. Nagoya Institute of Technology Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

关键词： Power system measurements Stator cores Torque Density measurement Magnetic cores Windings Rotors Soft magnetic materials Perpendicular magnetic anisotropy Magnetic levitation

来源：评论

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Design Study on Hybrid Excitation Generator for Micro-hydroelectric System

Design Study on Hybrid Excitation Generator for Micro-hydroe...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Kazuto Maruyama Takashi Kosaka Yasushi Kato Naoki Yamamoto Yoshiki Yasuda Akio Yamagiwa Electrical and Electronic Program Faculty of Eng. Graduate School of Eng. Nagoya Institute of Technology Nagoya Japan Technology and Innovation Center Daikin Industries Ltd. Settsu Osaka Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

关键词： Coils Magnetic flux Torque Air gaps Voltage Generators Hybrid power systems Finite element analysis Design optimization

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Modelling for PWM Carrier Loss Evaluation in Claw-pole Machine using MATLAB/Simulink

Modelling for PWM Carrier Loss Evaluation in Claw-pole Machi...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Yusuke Okunishi Takashi Kosaka Yu Hirai Yoshihiro Miyama Hideaki Arita Electrical and Electronic Program Faculty of Eng. Graduate School of Eng. Nagoya Institute of Technology Nagoya Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Amagasaki Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

关键词： Voltage measurement Accuracy Impedance measurement Measurement uncertainty Pulse width modulation Loss measurement Mathematical models Impedance Integrated circuit modeling MATLAB

来源：评论

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Building Energy Consumption Prediction: A Machine Learning Approach with Feature Selection

Building Energy Consumption Prediction: A Machine Learning A...

引用

International Conference on Smart Computing & Communications (ICSCC)

作者： Linfeng.Liu Filbert H. Juwono W. K. Wong Huanyu Liu Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China Dept. of Electrical and Electronic Eng. Xi'an Jiaotong-Liverpool University Suzhou China Dept. of Electrical and Computer Eng. Curtin University Malaysia Miri Malaysia

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

关键词： Energy consumption Machine learning algorithms Simulation Buildings Linear regression Machine learning Nearest neighbor methods Feature extraction Prediction algorithms Complexity theory

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