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Artificial Neural Networks Eccentricity Fault Detection of Induction Motor

Artificial Neural Networks Eccentricity Fault Detection of I...

引用

International Multi-Conference on Computing in the Global Information Technology, ICCGI

作者： Dragan Matić Filip Kulić Manuel Pineda-Sanchez Joan Pons-Llinares Department for Automation and System Control Faculty of Technical Science Novi Sad Serbia Department of Electrical Engineering Universidad Politécnica de Valencia Valencia Spain

This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic frequencies. Based on this data, training and test sets for used artificial neural networks are made. Feedforward and radial basis function neural networks are used for tasks of rotor condition classification. Well trained artificial neural networks are capable to successfully classify rotor condition at medium and full shaft load for choosen features. Simple structure and implementation made them suitably for practical usage.

关键词： Induction motors Rotors Artificial neural networks Stators Training Helium Harmonic analysis

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Artificial neural networks broken rotor bars induction motor fault detection

Artificial neural networks broken rotor bars induction motor...

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Seminar on Neural Network Applications in Electrical engineering

作者： Dragan Matić Filip Kulić Vincente Climente-Alarcón Ruben Puche-Panadero Faculty of Technical Science Department for Automation and System Control Trg Dositeja Obradovica 6 NoviSad Serbia Faculty of Technical Science cDepartment for Automation and System Control Trg Dositeja Obradovica 6 Novi Sad Serbia Department of Electrical Engineering Comino de Vera Polytechnic University of Valencia Valencia Spain

Paper deals with application of online rotor broken bar fault detection via artificial neural networks. Fault can be detected by monitoring abnormalities of the spectrum amplitudes at certain frequencies in the motor current spectrum. These discriminative features are used for training of feed-forward backpropagation artificial neural network. Trained network is capable to successfully classify induction motor rotor condition. Results are presented in tables and figures.

关键词： Rotors Induction motors Artificial neural networks Bars Amplitude modulation Fault detection Classification algorithms

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A new quantitative evaluation method of Parkinson's disease based on free spiral drawing

A new quantitative evaluation method of Parkinson's disease ...

引用

International Conference on BioMedical engineering and Informatics (BMEI)

作者： Min Wang Bei Wang Junzhong Zou Lanlan Chen Fumio Shima Masatoshi Nakamura Department of Automation School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Functional Neurosurgery Kaizuka Hospital Fukuoka Japan Department of Advanced System Control Engineering Saga University Saga Japan

Parkinson's disease is a common disease of central nervous system among the elderly, and its complex symptoms bring some difficulties for the clinical diagnosis. In this study, a new method based on free spiral drawing was proposed to for quantitative evaluation of hand movement of patients with Parkinson's disease. According to the characteristics of hand movement in free spiral drawing, a set of parameters were defined and calculated. Experimental results showed that this method of evaluation was consistent with the clinical diagnosis. The proposed method based on free spiral drawing is effective in clinical diagnosis, and it provides a basis for quantitative evaluating the effectiveness of surgery and treatment.

关键词： Spirals Parkinson's disease Interpolation Feature extraction Hospitals Time domain analysis

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Local entropy difference-fast marching method for leak diagnosis and localization

Local entropy difference-fast marching method for leak diagn...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Ling Zhao Tao Wang Wei Fan Nan Ge Tong Zhao Guangzheng Peng School of Automation Complicated System of Intelligent Control and Decision Key Laboratory of Education Ministry Beijing Institute of Technology Beijing China Department of Engineering Physics Tsinghua University Beijing China

In this paper, an effective technique for leak diagnosis and localization which couples the local entropy difference method (LEDM) to the fast marching method (FMM) is proposed. A computer-based system is described to combine a specific pneumatic circuit with an on-line infrared camera which is used to test the air-tightness of a test vessel. The test object is charged with cryogenic compressed air and its temperature field is acquired by infrared thermography in this system. Then, both the leakage point and its edge can be identified by means of the designed LED-FM method. An experiment is conducted that confirms that the leak diagnosis and localization method presented in this paper is effective in diagnosing leakage points and in extracting accurate leakage edges, in spite of the presence of surface defects.

关键词： Entropy Pixel Image edge detection Level set Cameras Equations Probes

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A nonlinear plant control by means of simulator-based foresight control

A nonlinear plant control by means of simulator-based foresi...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Zhang, Tao Uchida, Motomiki Nakamura, Masatoshi Department of Automation Tsinghua University Beijing 100084 China Fukuoka Institute of Technology Fukuoka Japan Department of Advanced System Control Engineering Saga University Saga 840-8502 Japan

ISBN: (纸本)9784907764333

This paper proposes a simulator-based foresight control approach for nonlinear plant based on system identification. In the proposed method, as a main part of the simulator-based foresight control system, a simulator of an exact plant model of non-affine nonlinear plant is first constructed. If relative degree of disturbance is smaller than control input, servo type filter will be then installed in series of disturbance line in order to adjust relative degree. Next, a control target equation which defines pole assignment for stable output error convergence is determined. Based on this control target equation, the control input for non-affine type nonlinear plant is generated. In this paper, the control of a boiler was implemented by use of the proposed method. The simulation results verified the effectiveness of the proposed method. © 2009 SICE.

关键词： Simulators

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Yaw control via combined braking and steering 10

Yaw control via combined braking and steering

引用

2009 10th European control Conference, ECC 2009

作者： Vanek, B. Kulcsar, B. Falcone, P. Balas, G. Computer and Automation Research Institute Hungarian Academy of Sciences Hungary Delft Center for System and Control Netherlands Department of Signals and Systems Chalmers University of Technology Sweden University of Minnesota Department of Aerospace Engineering and Mechanics United States

ISBN: (纸本)9783952417393

Active yaw stabilization for passenger vehicles, following driver yaw rate commands with steer-by-wire and rear break force distribution, is discussed. The problem is solved via a decomposition of the vehicle equations of motion into a static, scheduled tyre characteristics map, and an affine Linear Parameter Varying (LPV) plant. control is provided via a cascade connection of scheduled inverse tyre characteristics and an LPV controller, handling both the nonlinear dynamics an the non-affine tyre characteristics. Excellent tracking results are demonstrated with a high fidelity simulation even in the presence of noise and uncertainty. © 2009 EUCA.

关键词： Equations of motion

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Train regulation for mass transit systems 10

Train regulation for mass transit systems

引用

2009 10th European control Conference, ECC 2009

作者： Mendes, Wagner E. Mendes, Rafael S. Control System Group Inside the Transport Segment of Alstom São Paulo São Paulo Brazil Department of Computer Engineering and Industrial Automation Campinas State University São Paulo Brazil

ISBN: (纸本)9783952417393

The train regulation problem is of particular importance among the scheduling problems found in mass transit systems, being characterized by trains running in urban regions taking passengers from one location to another. If the desired headway between trains, dwell-times in platforms and running times between platforms are determined and known a-priori, the steady state solution (timetable) can be calculated. However, real systems are subject to disturbances such as passengers preventing doors from closing, mechanical or electrical failures, etc., that can deviate the trains from the steady state. In this context, this work is concerned with the determination of a control law, i.e. a law for the determination of the arrival and departure times of each train on each platform in the system's cycles in order to reestablish and maintain the timetable (reference solution). The proposed control law is based on max-plus algebra concepts. The desired arrival and departure times of each train on each platform are calculated from the last occurrence instants of the system's events and from a set of matrices defined in max-plus algebra. © 2009 EUCA.

关键词： Scheduling

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Construction of a fault tolerance connected dominating set in wireless sensor network

Construction of a fault tolerance connected dominating set i...

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2009 International Conference on Measuring Technology and Mechatronics automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

作者： Peng Zeng Yongzhao Bian Haibin Yu Department of Industrial Control System Shenyang Institute of Automation Chinese Academy of Sciences Department of Mechanical and Electronic Engineering Shenyang Institute of Automation Chinese Academy

In wireless sensor networks, virtual backbone has been proposed as the routing infrastructure to alleviate the broadcasting storm problem and perform some other tasks such as area monitoring. Previous work in this area has mainly focused on how to construct a small virtual backbone for high efficiency, which is modeled as the minimum Connected Dominating Set (MCDS) problem. However, the nodes in the CDS need to carry other nodes' traffic and they are subject to failure. Therefore, it is desirable to construct a fault tolerant CDS. In this paper, we first propose a distributed algorithm to construct a connected dominating set (DACDS). Based on DACDS, we further develop a fault tolerant algorithm (kCDS). We also show our algorithm have better performance ratios and low message complexity.

关键词： wireless sensor network (WSN) virtual backbone connected dominating set (CDS) mazimal independent set (MIS) fault tolerant

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Novel connection scheme of backup power supply adaptive to Distribution Line Non-Communication Protection and new criterion for high voltage and large capacity induction motor

Novel connection scheme of backup power supply adaptive to D...

引用

2009 Asia-Pacific Power and Energy engineering Conference, APPEEC 2009

作者： Liu, Kun Dong, Xinzhou Bo, Zhiqian State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing 100084 China AREVA T and D Automation Stafford ST17 4LX United Kingdom

ISBN: (纸本)9781424424870

This paper presents a new practical backup power supply connection scheme for Distribution Line Non-Communication Protection (DNCP). Simulation tests have been conducted using the Alternate Transient Program (ATP) with respect to a typical single circuit breaker multi-section system. The results prove that the new scheme is able to not only recover the power supply of loads on healthy lines automatically, but also create disturbances in favor of Accelerated Over Current (AOC) criterion. Aiming at the failure of Directional Under Voltage (DUV) criterion derived from high voltage and large capacity induction motor load, a novel criterion using the increment of reactive power is proposed. © 2009 IEEE.

关键词： Induction motors

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Distributed state and unknown input estimation for freeway traffic flow models 10

Distributed state and unknown input estimation for freeway t...

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2009 10th European control Conference, ECC 2009

作者： Luspay, T. Kulcsar, B. Tettamanti, T. Varga, I. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute HAS Kende u. 13.-17 BudapestH-1111 Hungary Delft Center for System and Control Faculty of Mechanical Maritime and Materials Engineering Technical University of Delft Mekelweg 2 Delft Netherlands Department of Control and Transport Automation Budapest University of Technology and Economics Bertalan L. u. 2 BudapestH-1111 Hungary

ISBN: (纸本)9783952417393

The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine approximate Lin- ear Parameter Varying (LPV) form. Observer design technique is formulated using off-line optimization problem subjected to Linear Matrix Inequality (LMI) conditions, considering uncertain scheduling parameters. Furthermore, locally designed state estimators are interconnected to cover multiple freeway sections. The elaborated method is validated using real traffic measurements. © 2009 EUCA.

关键词： Linear matrix inequalities

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