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Urresty J.-C.,Polytechnic University of Catalonia | Atashkhooei R.,Polytechnic University of Catalonia | Riba J.-R.,Polytechnic University of Catalonia | Romeral L.,Polytechnic University of Catalonia | And 2 more authors.
IEEE Transactions on Industrial Electronics | Year: 2013

Demagnetization faults have a negative impact on the behavior of permanent-magnet synchronous machines, thus reducing their efficiency, generating torque ripple, mechanical vibrations, and acoustic noise, among others. In this paper, the displacement of the shaft trajectory induced by demagnetization faults is studied. It is proved that such faults may increase considerably the amplitude of the rotor displacement. The direct measure of the shaft trajectory is performed by means of a noncontact self-mixing interferometric sensor. In addition, the new harmonics in the back electromotive force (EMF) and the stator current spectrum arising from the shaft displacement are analyzed by means of finite-element method (FEM) simulations and experimental tests. Since conventional finite-element electromagnetic models are unable to predict the harmonics arising from the shaft trajectory displacement, an improved finite-element model which takes into account the measured trajectory has been developed. It is shown that this improved model allows obtaining more accurate back EMF and stator current spectra than those obtained by means of conventional models. This work presents a comprehensive analysis of the effects generated by demagnetization faults, which may be useful to develop improved fault diagnosis schemes. © 1982-2012 IEEE.


This report studies sales (consumption) of Power Measuring devices in Europe market, especially in Germany, UK, France, Italy, Spain and Russia, focuses on top players in these regions/countries, with sales, price, revenue and market share for each player in these regions, covering Algodue Elettronica EXFO Giga-tronics Incorporated Kingfisher International Ophir Optronics Simens Simpson Scientech OptoTest Christ-Elektronik BOONTON Anritsu Essilor HIOKI E.E. CORPORATION LASERVISION Matsushita Electric Works Sanwa Electric Instrument KEYSIGHT TECHNOLOGIES Control Applications Ltd Arbiter Systems Meagacon AS Thorlabs View Full Report With Complete TOC, List Of Figure and Table: http://globalqyresearch.com/europe-power-measuring-devices-market-report-to-2021 Market Segment by Regions, this report splits Europe into several key Regions, with sales (consumption), revenue, market share and growth rate of Power Measuring devices in these regions, from 2011 to 2021 (forecast), like Germany France UK Italy Spain Russia Split by product types, with sales, revenue, price, market share and growth rate of each type, can be divided into laser Radio-frequency rotational Optical Others Split by applications, this report focuses on sales, market share and growth rate of Power Measuring devices in each application, can be divided into Cutting edge Fiber optic Others 1 Power Measuring devices Overview 1.1 Product Overview and Scope of Power Measuring devices 1.2 Classification of Power Measuring devices 1.2.1 laser 1.2.2 Radio-frequency rotational 1.2.3 Optical 1.2.4 Others 1.3 Applications of Power Measuring devices 1.3.1 Cutting edge 1.3.2 Fiber optic 1.3.3 Others 1.4 Power Measuring devices Market by Regions 1.4.1 Germany Status and Prospect (2011-2021) 1.4.2 France Status and Prospect (2011-2021) 1.4.3 UK Status and Prospect (2011-2021) 1.4.4 Italy Status and Prospect (2011-2021) 1.4.5 Spain Status and Prospect (2011-2021) 1.4.6 Russia Status and Prospect (2011-2021) 1.5 Europe Market Size (Value and Volume) of Power Measuring devices (2011-2021) 1.5.1 Europe Power Measuring devices Sales, Revenue and Price (2011-2021) 1.5.2 Europe Power Measuring devices Sales and Growth Rate (2011-2021) 1.5.3 Europe Power Measuring devices Revenue and Growth Rate (2011-2021) 9 Europe Power Measuring devices Manufacturers Analysis 9.1 Algodue Elettronica 9.1.1 Company Basic Information,Manufacturing Base and Competitors 9.1.2 Power Measuring devices Product Type and Technology 9.1.2.1 Type I 9.1.2.2 Type II 9.1.3 Power Measuring devices Sales, Revenue, Price of Algodue Elettronica (2015 and 2016) 9.2 EXFO 9.2.1 Company Basic Information,Manufacturing Base and Competitors 9.2.2 Power Measuring devices Product Type and Technology 9.2.2.1 Type I 9.2.2.2 Type II 9.2.3 Power Measuring devices Sales, Revenue, Price of EXFO (2015 and 2016) 9.3 Giga-tronics Incorporated 9.3.1 Company Basic Information,Manufacturing Base and Competitors 9.3.2 Power Measuring devices Product Type and Technology 9.3.2.1 Type I 9.3.2.2 Type II 9.3.3 Power Measuring devices Sales, Revenue, Price of Giga-tronics Incorporated (2015 and 2016) 9.4 Kingfisher International 9.4.1 Company Basic Information,Manufacturing Base and Competitors 9.4.2 Power Measuring devices Product Type and Technology 9.4.2.1 Type I 9.4.2.2 Type II 9.4.3 Power Measuring devices Sales, Revenue, Price of Kingfisher International (2015 and 2016) 9.5 Ophir Optronics 9.5.1 Company Basic Information,Manufacturing Base and Competitors 9.5.2 Power Measuring devices Product Type and Technology 9.5.2.1 Type I 9.5.2.2 Type II 9.5.3 Power Measuring devices Sales, Revenue, Price of Ophir Optronics (2015 and 2016) 9.6 Simens 9.6.1 Company Basic Information,Manufacturing Base and Competitors 9.6.2 Power Measuring devices Product Type and Technology 9.6.2.1 Type I 9.6.2.2 Type II 9.6.3 Power Measuring devices Sales, Revenue, Price of Simens (2015 and 2016) 9.7 Simpson 9.7.1 Company Basic Information,Manufacturing Base and Competitors 9.7.2 Power Measuring devices Product Type and Technology 9.7.2.1 Type I 9.7.2.2 Type II 9.7.3 Power Measuring devices Sales, Revenue, Price of Simpson (2015 and 2016) 9.8 Scientech 9.8.1 Company Basic Information,Manufacturing Base and Competitors 9.8.2 Power Measuring devices Product Type and Technology 9.8.2.1 Type I 9.8.2.2 Type II 9.8.3 Power Measuring devices Sales, Revenue, Price of Scientech (2015 and 2016) 9.9 OptoTest 9.9.1 Company Basic Information,Manufacturing Base and Competitors 9.9.2 Power Measuring devices Product Type and Technology 9.9.2.1 Type I 9.9.2.2 Type II 9.9.3 Power Measuring devices Sales, Revenue, Price of OptoTest (2015 and 2016) 9.10 Christ-Elektronik 9.10.1 Company Basic Information,Manufacturing Base and Competitors 9.10.2 Power Measuring devices Product Type and Technology 9.10.2.1 Type I 9.10.2.2 Type II 9.10.3 Power Measuring devices Sales, Revenue, Price of Christ-Elektronik (2015 and 2016) 9.11 BOONTON 9.11.1 Company Basic Information,Manufacturing Base and Competitors 9.11.2 Power Measuring devices Product Type and Technology 9.11.2.1 Type I 9.11.2.2 Type II 9.11.3 Power Measuring devices Sales, Revenue, Price of BOONTON (2015 and 2016) 9.12 Anritsu 9.12.1 Company Basic Information,Manufacturing Base and Competitors 9.12.2 Power Measuring devices Product Type and Technology 9.12.2.1 Type I 9.12.2.2 Type II 9.12.3 Power Measuring devices Sales, Revenue, Price of Anritsu (2015 and 2016) 9.13 Essilor 9.13.1 Company Basic Information,Manufacturing Base and Competitors 9.13.2 Power Measuring devices Product Type and Technology 9.13.2.1 Type I 9.13.2.2 Type II 9.13.3 Power Measuring devices Sales, Revenue, Price of Essilor (2015 and 2016) 9.14 HIOKI E.E. CORPORATION 9.14.1 Company Basic Information,Manufacturing Base and Competitors 9.14.2 Power Measuring devices Product Type and Technology 9.14.2.1 Type I 9.14.2.2 Type II 9.14.3 Power Measuring devices Sales, Revenue, Price of HIOKI E.E. CORPORATION (2015 and 2016) 9.15 LASERVISION 9.15.1 Company Basic Information,Manufacturing Base and Competitors 9.15.2 Power Measuring devices Product Type and Technology 9.15.2.1 Type I 9.15.2.2 Type II 9.15.3 Power Measuring devices Sales, Revenue, Price of LASERVISION (2015 and 2016) 9.16 Matsushita Electric Works 9.16.1 Company Basic Information,Manufacturing Base and Competitors 9.16.2 Power Measuring devices Product Type and Technology 9.16.2.1 Type I 9.16.2.2 Type II 9.16.3 Power Measuring devices Sales, Revenue, Price of Matsushita Electric Works (2015 and 2016) 9.17 Sanwa Electric Instrument 9.17.1 Company Basic Information,Manufacturing Base and Competitors 9.17.2 Power Measuring devices Product Type and Technology 9.17.2.1 Type I 9.17.2.2 Type II 9.17.3 Power Measuring devices Sales, Revenue, Price of Sanwa Electric Instrument (2015 and 2016) 9.18 KEYSIGHT TECHNOLOGIES 9.18.1 Company Basic Information,Manufacturing Base and Competitors 9.18.2 Power Measuring devices Product Type and Technology 9.18.2.1 Type I 9.18.2.2 Type II 9.18.3 Power Measuring devices Sales, Revenue, Price of KEYSIGHT TECHNOLOGIES (2015 and 2016) 9.19 Control Applications Ltd 9.19.1 Company Basic Information,Manufacturing Base and Competitors 9.19.2 Power Measuring devices Product Type and Technology 9.19.2.1 Type I 9.19.2.2 Type II 9.19.3 Power Measuring devices Sales, Revenue, Price of Control Applications Ltd (2015 and 2016) 9.20 Arbiter Systems 9.20.1 Company Basic Information,Manufacturing Base and Competitors 9.20.2 Power Measuring devices Product Type and Technology 9.20.2.1 Type I 9.20.2.2 Type II 9.20.3 Power Measuring devices Sales, Revenue, Price of Arbiter Systems (2015 and 2016) 9.21 Meagacon AS 9.21.1 Company Basic Information,Manufacturing Base and Competitors 9.21.2 Power Measuring devices Product Type and Technology 9.21.2.1 Type I 9.21.2.2 Type II 9.21.3 Power Measuring devices Sales, Revenue, Price of Meagacon AS (2015 and 2016) 9.22 Thorlabs 9.22.1 Company Basic Information,Manufacturing Base and Competitors 9.22.2 Power Measuring devices Product Type and Technology 9.22.2.1 Type I 9.22.2.2 Type II 9.22.3 Power Measuring devices Sales, Revenue, Price of Thorlabs (2015 and 2016) Global QYResearch ( http://globalqyresearch.com/ ) is the one spot destination for all your research needs. Global QYResearch holds the repository of quality research reports from numerous publishers across the globe. Our inventory of research reports caters to various industry verticals including Healthcare, Information and Communication Technology (ICT), Technology and Media, Chemicals, Materials, Energy, Heavy Industry, etc. With the complete information about the publishers and the industries they cater to for developing market research reports, we help our clients in making purchase decision by understanding their requirements and suggesting best possible collection matching their needs.


Pujol G.,Control Applications | Acho L.,Control Applications | Pozo F.,Control Applications | Rodrguez A.,Alstom | Vidal Y.,Control Applications
Mechanical Systems and Signal Processing | Year: 2011

Hysteresis is a property of systems that do not instantly follow the forces applied to them, but react slowly, or do not return completely to their original state. A velocity based active vibration control, along with a special class of hysteretic models using passive functions are presented in this paper. This hysteretic model is based on a modification of the BoucWen model, where a nonlinear term is replaced by a passive function. The proposed class retains the rate-independence property of the original BoucWen model, and it is able to reproduce several kinds of hysteretic loops that cannot be reproduced with the original BoucWen model. Using this class of hysteretic models, a chattering velocity-based active vibration control scheme is developed to mitigate seismic perturbations on hysteretic base-isolated structures. Our hysteretic model is used because of its simplicity in proving the stability of the closed-loop system; i.e., a controller is designed using the proposed model, and its performance is tested on the original hysteretic system, modeled with BoucWen. Numerical experiments show the robustness and efficiency of the proposed control algorithm. © 2010 Elsevier Ltd. All rights reserved.


Research and Markets has announced the addition of the "Global Automotive Sensors Market Analysis & Trends - Industry Forecast to 2025" report to their offering. The Global Automotive Sensors Market is poised to grow at a CAGR of around 8.4% over the next decade to reach approximately $48.3 billion by 2025. This industry report analyzes the market estimates and forecasts for all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2013, 2014 revenue estimations are presented for 2015 and forecasts from 2016 till 2025. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies. With comprehensive market assessment across the major geographies such as North America, Europe, Asia Pacific, Middle East, Latin America and Rest of the world the report is a valuable asset for the existing players, new entrants and the future investors. Some of the trends that the market is experiencing include need for fuel efficient and reduction for carbon footprint, growing adoption of automotive cruise control systems, developing fully autonomous and semi autonomous automobiles and emerging technologies like combo sensors and wafer-level packaging technologies. Depending on application, market is divided into Chassis, Body Electronics, Exhaust, Powertrain, Safety and Control, Telematics, Vehicle Lighting Control and Ignition Control Applications and Other Applications. Based on sensor type the market is categorized into Inertial Sensors, Image Sensors, Nox Sensor, Oxygen Sensors, Pressure Sensors, Temperature Sensors, Position Sensors, Level Sensor, Torque Sensor and Other Sensors. Inertial Sensors segment is subdivided into Gyroscopes and Accelerometers. The Image Sensors segment is further broken down into Charge-Coupled Device (CCD) and Complementary Metal-Oxide Semiconductor (CMOS). Other Sensors segment is diverged into Particulate Matter Sensors, Proximity Sensors, Radar Sensors, Rain Sensors, Relative Humidity Sensors and Ultrasonic Sensors. Based on working principle market is segmented into Inductive, Magnetic, Capacitive, Piezoelectric and Optical. On the basis of technology, market is categorised into Microelectromechanical Systems (MEMS), Non-Electro Mechanical Systems (Non-MEMS), Nano-Electro-Mechanical Systems (NEMS) and Hall Effect Technology. The Microelectromechanical Systems (MEMS) technology is subdivided into Fuel Injector Pressure Sensor, Airbag Sensor, Roll over Detection Sensor, Vehicle Dynamic Control (VDC) sensor and Throttle position sensor. Non-Electro-Mechanical Systems (Non-MEMS) segment is also broken further into Magnetic Sensor, Battery sensor and Optical Sensor. By vehicle type the market is bifurcated into Cars, Buses, Two-wheelers and Trucks. The cars segment is further divided into Coupes, Hatchback Cars, Sedan Cars, SUV and Wagons. Trucks segment is sub divided into Light-duty truck, Light light-duty truck, Heavy-duty vehicle and Heavy light-duty truck. Report Highlights: - The report provides a detailed analysis on current and future market trends to identify the investment opportunities - Market forecasts till 2025, using estimated market values as the base numbers - Key market trends across the business segments, Regions and Countries - Key developments and strategies observed in the market - Market Dynamics such as Drivers, Restraints, Opportunities and other trends - In-depth company profiles of key players and upcoming prominent players - Growth prospects among the emerging nations through 2025 - Market opportunities and recommendations for new investments Key Topics Covered: 1 Market Outline 2 Executive Summary 3 Market Overview 3.1 Current Trends 3.1.1 Need for fuel efficient and reduction for carbon footprint 3.1.2 Growing adoption of automotive cruise control systems 3.1.3 Developing fully autonomous and semi autonomous automobiles 3.1.4 Emerging technologies like combo sensors and wafer-level packaging technologies 3.2 Drivers 3.3 Constraints 3.4 Industry Attractiveness 4 Automotive Sensors Market, By Application 4.1 Chassis 4.1.1 Chassis Market Forecast to 2025 (US$ MN) 4.2 Body Electronics 4.2.1 Body Electronics Market Forecast to 2025 (US$ MN) 4.3 Exhaust 4.3.1 Exhaust Market Forecast to 2025 (US$ MN) 4.4 Powertrain 4.4.1 Powertrain Market Forecast to 2025 (US$ MN) 4.5 Safety and Control 4.5.1 Safety and Control Market Forecast to 2025 (US$ MN) 4.6 Telematics 4.6.1 Telematics Market Forecast to 2025 (US$ MN) 4.7 Vehicle Lighting Control 4.7.1 Vehicle Lighting Control Market Forecast to 2025 (US$ MN) 4.8 Ignition Control Applications 4.8.1 Ignition Control Applications Market Forecast to 2025 (US$ MN) 4.9 Other Applications 4.9.1 Other Applications Market Forecast to 2025 (US$ MN) 5 Automotive Sensors Market, By Sensor Type 5.1 Inertial Sensors 5.1.1 Inertial Sensors Market Forecast to 2025 (US$ MN) 5.1.1.1 Gyroscopes 5.1.1.1.1 Gyroscopes Market Forecast to 2025 (US$ MN) 5.1.1.2 Accelerometers 5.1.1.2.1 Accelerometers Market Forecast to 2025 (US$ MN) 5.2 Image Sensors 5.2.1 Image Sensors Market Forecast to 2025 (US$ MN) 5.2.1.1 Charge-Coupled Device (CCD) 5.2.1.1.1 Charge-Coupled Device (CCD) Market Forecast to 2025 (US$ MN) 5.2.1.2 Complementary Metal-Oxide Semiconductor (CMOS) 5.2.1.2.1 Complementary Metal-Oxide Semiconductor (CMOS) Market Forecast to 2025 (US$ MN) 5.3 Nox Sensor 5.3.1 Nox Sensor Market Forecast to 2025 (US$ MN) 5.4 Oxygen Sensors 5.4.1 Oxygen Sensors Market Forecast to 2025 (US$ MN) 5.5 Pressure Sensors 5.5.1 Pressure Sensors Market Forecast to 2025 (US$ MN) 5.6 Temperature Sensors 5.6.1 Temperature Sensors Market Forecast to 2025 (US$ MN) 5.7 Position Sensors 5.7.1 Position Sensors Market Forecast to 2025 (US$ MN) 5.8 Level Sensor 5.8.1 Level Sensor Market Forecast to 2025 (US$ MN) 5.9 Torque Sensor 5.9.1 Torque Sensor Market Forecast to 2025 (US$ MN) 5.10 Other Sensors 5.10.1 Other Sensors Market Forecast to 2025 (US$ MN) 5.10.1.1 Particulate Matter Sensors 5.10.1.1.1 Particulate Matter Sensors Market Forecast to 2025 (US$ MN) 5.10.1.2 Proximity Sensors 5.10.1.2.1 Proximity Sensors Market Forecast to 2025 (US$ MN) 5.10.1.3 Radar Sensors 5.10.1.3.1 Radar Sensors Market Forecast to 2025 (US$ MN) 5.10.1.4 Rain Sensors 5.10.1.4.1 Rain Sensors Market Forecast to 2025 (US$ MN) 5.10.1.5 Relative Humidity Sensors 5.10.1.5.1 Relative Humidity Sensors Market Forecast to 2025 (US$ MN) 5.10.1.6 Ultrasonic Sensors 5.10.1.6.1 Ultrasonic Sensors Market Forecast to 2025 (US$ MN) 6 Automotive Sensors Market, By Working Principle 6.1 Inductive 6.1.1 Inductive Market Forecast to 2025 (US$ MN) 6.2 Magnetic 6.2.1 Magnetic Market Forecast to 2025 (US$ MN) 6.3 Capacitive 6.3.1 Capacitive Market Forecast to 2025 (US$ MN) 6.4 Piezoelectric 6.4.1 Piezoelectric Market Forecast to 2025 (US$ MN) 6.5 Optical 6.5.1 Optical Market Forecast to 2025 (US$ MN) 7 Automotive Sensors Market, By Technology 7.1 Microelectromechanical Systems (MEMS) 7.1.1 Microelectromechanical Systems (MEMS) Market Forecast to 2025 (US$ MN) 7.1.1.1 Fuel Injector Pressure Sensor 7.1.1.1.1 Fuel Injector Pressure Sensor Market Forecast to 2025 (US$ MN) 7.1.1.2 Airbag Sensor 7.1.1.2.1 Airbag Sensor Market Forecast to 2025 (US$ MN) 7.1.1.3 Roll Over Detection Sensor 7.1.1.3.1 Roll Over Detection Sensor Market Forecast to 2025 (US$ MN) 7.1.1.4 Vehicle Dynamic Control (VDC) sensor 7.1.1.4.1 Vehicle Dynamic Control (VDC) sensor Market Forecast to 2025 (US$ MN) 7.1.1.5 Throttle position sensor 7.1.1.5.1 Throttle position sensor Market Forecast to 2025 (US$ MN) 7.2 Non-Electro-Mechanical Systems (Non-MEMS) 7.2.1 Non-Electro-Mechanical Systems (Non-MEMS) Market Forecast to 2025 (US$ MN) 7.2.1.1 Magnetic Sensor 7.2.1.1.1 Magnetic Sensor Market Forecast to 2025 (US$ MN) 7.2.1.2 Battery sensor 7.2.1.2.1 Battery sensor Market Forecast to 2025 (US$ MN) 7.2.1.3 Optical Sensor 7.2.1.3.1 Optical Sensor Market Forecast to 2025 (US$ MN) 7.3 Nano-Electro-Mechanical Systems (NEMS) 7.3.1 Nano-Electro-Mechanical Systems (NEMS) Market Forecast to 2025 (US$ MN) 7.4 Hall Effect Technology 7.4.1 Hall Effect Technology Market Forecast to 2025 (US$ MN) 8 Automotive Sensors Market, By Vehicle Type 8.1 Cars 8.1.1 Cars Market Forecast to 2025 (US$ MN) 8.1.1.1 Coupes 8.1.1.1.1 Coupes Market Forecast to 2025 (US$ MN) 8.1.1.2 Hatchback Cars 8.1.1.2.1 Hatchback Cars Market Forecast to 2025 (US$ MN) 8.1.1.3 Sedan Cars 8.1.1.3.1 Sedan Cars Market Forecast to 2025 (US$ MN) 8.1.1.4 SUV 8.1.1.4.1 SUV Market Forecast to 2025 (US$ MN) 8.1.1.5 Wagons 8.1.1.5.1 Wagons Market Forecast to 2025 (US$ MN) 8.2 Buses 8.2.1 Buses Market Forecast to 2025 (US$ MN) 8.3 Two-wheelers 8.3.1 Two-wheelers Market Forecast to 2025 (US$ MN) 8.4 Trucks 8.4.1 Trucks Market Forecast to 2025 (US$ MN) 8.4.1.1 Light-duty truck 8.4.1.1.1 Trucks Market Forecast to 2025 (US$ MN) 8.4.1.2 Light light-duty truck 8.4.1.2.1 Trucks Market Forecast to 2025 (US$ MN) 8.4.1.3 Heavy-duty vehicle 8.4.1.3.1 Trucks Market Forecast to 2025 (US$ MN) 8.4.1.4 Heavy light-duty truck 8.4.1.4.1 Trucks Market Forecast to 2025 (US$ MN) 9 Automotive Sensors Market, By Geography 10 Key Player Activities 10.1 Acquisitions & Mergers 10.2 Agreements, Partnerships, Collaborations and Joint Ventures 10.3 Product Launch & Expansions 10.4 Other Activities 11 Leading Companies - Allegro Microsystems Inc - American Sensor Technologies Inc. - Analog Devices Inc. - Bosch Sensortec Gmbh - China Automotive Systems Inc. - Continental Ag - Corrsys-Datron Sensorsysteme Gmbh - Delphi Corp - Freescale Semiconductor Inc - Hitachi Automotive Systems - Jumo Gmbh & Co. Kg - Motion Sensors Inc - Novotechnik U.S. Inc - Nxp Semiconductors - Omron Corp - Raltron Electronics Corp - Sensonar Technologies As - The Shanghai Nicera Sensor Co. Ltd - Trw Automotive Holdings Corp - Visteon Corp - Hella Kgaa Hueck & Co - Xensor Corp - OSRAM Opto Semiconductors Gmbh - Hamamatsu Photonics KK - Melexis Microelectronic Integrated Systems For more information about this report visit http://www.researchandmarkets.com/research/pzbm2z/global_automotive Research and Markets Laura Wood, Senior Manager press@researchandmarkets.com For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 U.S. Fax: 646-607-1907 Fax (outside U.S.): +353-1-481-1716


Prieto M.D.,Control Applications | Cirrincione G.,University of Picardie Jules Verne | Espinosa A.G.,Control Applications | Ortega J.A.,Control Applications | Henao H.,University of Picardie Jules Verne
IEEE Transactions on Industrial Electronics | Year: 2013

Bearing degradation is the most common source of faults in electrical machines. In this context, this work presents a novel monitoring scheme applied to diagnose bearing faults. Apart from detecting local defects, i.e., single-point ball and raceway faults, it takes also into account the detection of distributed defects, such as roughness. The development of diagnosis methodologies considering both kinds of bearing faults is, nowadays, subject of concern in fault diagnosis of electrical machines. First, the method analyzes the most significant statistical-time features calculated from vibration signal. Then, it uses a variant of the curvilinear component analysis, a nonlinear manifold learning technique, for compression and visualization of the feature behavior. It allows interpreting the underlying physical phenomenon. This technique has demonstrated to be a very powerful and promising tool in the diagnosis area. Finally, a hierarchical neural network structure is used to perform the classification stage. The effectiveness of this condition-monitoring scheme has been verified by experimental results obtained from different operating conditions. © 1982-2012 IEEE.


Takano M.,Control Applications
Proceedings of the SICE Annual Conference | Year: 2011

This study presents the objectives and practical approaches of the system aspect of control networks from the perspective of the energy efficiency of the demand side. We describe the requirements for the realization of improvements in energy efficiency of both the demand and supply sides, which require connectivity and flexibility of control systems and appropriate energy data formats. © 2011 SICE.


Chen S.-C.,Control Applications
Paper360 | Year: 2010

A multivariable cross direction (CD) or MCD control technique is implemented for controlling sheet weight and fiber orientation profiles. The scheme is capable of taking in multiple profiles such as weight, fiber angles, fiber ratios, and twist index. MCD control coordinates all slice screw movements simultaneously to achieve the best weight and fiber orientation profiles automatically. The top fiber angle is controlled to follow the shape of the bottom fiber angle profile so that the resulting twist is minimized. The scheme is needed to simultaneously control complex sheet properties such as fiber orientation, weight, and moisture. The control scheme has the capability and flexibility to control various combinations of weight, fiber, angles, and twist/curl profiles to achieve selected targets. The application of online fiber orientation and measurement and MCD control results in improvements of fiber orientation and reduced associated paper rejects.


Takano M.,Control Applications
Proceedings of the SICE Annual Conference | Year: 2014

An awareness of the potential for cyber security incidents along with ordinal troubleshooting procedures contributes to improved handling of these incidents in industrial control system (ICS). Organizations that use ICS will benefit by adding cyber-oriented incident handling to existing ICS troubleshooting trees. Case studies of both non-cyber and cyber incidents show the advantages of using ordinal troubleshooting flows and efficient configuration of layered security defense with minimum services for buying time against unknown vulnerability exploitation. © 2014 SICE.


Krichen M.,Control Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

We extend our previous work on model-based testing [2]. We propose a formal framework for black-box conformance testing for distributed real-time systems. Our framework is based on the model of partially-observable, non-deterministic timed automata. A given distributed system can be modeled either as a single timed automaton or a network of timed automata. Our algorithm for generating test suites is based on an on-the-fly determinization of the specification automaton. Our testing architecture may be either centralized or not. © 2010 Springer-Verlag.


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