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Signal-based fault prognosi approach based on time - Frequency analysis applied to industrial data

Signal-based fault prognosi approach based on time - Frequen...

10th International Workshop on Structural Health Monitoring: System Reliability for Verification and Implementation, IWSHM 2015

作者： Rother, Astrid Jelali, Mohieddine Söffker, Dirk Rolling and Metallic Coating ThyssenKrupp Steel Europe AG Essener Str. 244 Bochum44791 Germany Laboratory of Control Engineering and Mechatronics Cologne University of Applied Sciences Betzdorfer Str. 2 Cologne50679 Germany Department of Dynamics and Control University of Duisburg-Essen Lotharstr. 1-21 Duisburg47057 Germany

ISBN: (纸本)9781605951119

Increasing customer demands in product quality and increasing complexity in production plants found the need of profound system knowledge to reduce downtimes, to extend the lifetime of components, and to reduce the deterioration of quality. In this contribution, the application of Wavelet Transform and Empirical Mode Decomposition to selected industrial data for fault identification is presented. The data originate from a seven-stand hot strip mill. The suitability of these methods to detect characteristic features to allocate the patterns to specific faults is shortly reviewd. Classification is done with a Support Vector Machine. The results of Empirical Mode Decomposition respectively the Intrinsic Mode Functions are classified by evaluating the results of a cross-correlation. In previous contributions, the authors analyzed the aptitude of selected data-driven methods to detect conspicuous behavior of production plant in the field of non-stationary signals [1]. Based on these previous results, the authors broaden in this contribution the statistical basis and thus improve the reliability of the interpretation by applying the method of four-fold cross-validation to the data. The results of these classifications are evaluated with the McNemar-Test. An approach for fault prediction is discussed. Copyright © 2015 by DEStech Publications, Inc. All rights reserved.

关键词： Empirical mode decomposition

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Comparisons of skill index algorithm in driving for human adaptive mechatronics

Comparisons of skill index algorithm in driving for human ad...

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Asian control Conference

作者： Amirah 'Aisha Badrul Hisham Mohamad Hafis Izran Ishak Mohammad Fitri Alif Mohammad Kasai Nurul Hawani Idris Universiti Teknologi Malaysia Skudai Johor MY Department of Control and Mechatronics Engineering Universiti Teknologi Malaysia Johor Malaysia Department of Geoinformatics Universiti Teknologi Malaysia Johor Malaysia

Currently, Human Machine System (HMS) considers being a proven technology, which has gained an important role in various human activities. One of the most recent developments in this area is Human Adaptive mechatronics (HAM) approach for enhancing human skills. This approach therefore is different compared to an ordinary HMS, in terms of its ability to adapt to the changes in its environment and in the human changing level of skills. The crucial issue in HAM is in evaluating the human skills level on machine operation. Therefore, this paper discussed about the comparisons between the proposed formula to quantify and classify the skill index of human operator with the Fuzzy Logic and other formula. An experiment using a driving car simulator is carried out to clarify those formulas in machine manipulation system. From the comparison it is found that the proposed formulas give better result compared to Fuzzy Logic System and other formula.

关键词： Indexes Fuzzy logic mechatronics Adaptive systems Adaptation models Mechanical systems Artificial intelligence

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Wall Following control Algorithm for a Car-Like Wheeled-Mobile Robot with Differential-Wheels Drive

Wall Following Control Algorithm for a Car-Like Wheeled-Mobi...

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International Conference on control, Automation and Systems

作者： Lafin Hari Prayudhi Augie Widyotriatmo Keum-Shik Hong Logistics Information Technology Pusan National University Instrumentation and Control Research Group Institut Teknologi Bandung Department of Cogno-Mechatronics Engineering and School of Mechanical Engineering Pusan National University

ISBN: (纸本)9781479999767

A configuration wheeled mobile robot which is classified as car-like vehicle with a differential wheels drive is developed. The mobile robot is driven based upon differential wheels drive and rotating steer mechanism. The system configuration of mobile robot platform is designed including the necessary sensors and controller. The kinematic model of the mobile robot is derived and the control configuration is proposed. A wall following control algorithm for the robot is developed using the Lyapunov method. The state variables of the wall following model are the distance error from the position of mobile robot to a desired distance from the wall and the orientation error between the orientation of the mobile robot and the wall. The closed-loop system shows asymptotic stabilization of the origin of variables, which are distance and orientation of the mobile robot with respect to the wall. The control algorithm steers the mobile robot to move along the wall with a predetermined distance and zero orientation to the wall. The effectiveness of designed control algorithm is shown using simulation results.

关键词： Mobile robot Wall following control Lyapunov method Autonomous system Kinematics Differential-wheels drive Car-like mobile robot

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Active disturbance rejection control of singular differentially flat systems

Active disturbance rejection control of singular differentia...

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SICE Annual Conference

作者： M. Ramírez-Neria H. Sira-Ramírez R. Garrido-Moctezuma A. Luviano-Juárez Automatic Control Departament of Cinvestav IPN México DF Mechatronics Section of the Electrical Engineering Department of Cinvestav-IPN México DF UPIITA-IPN Mexico

A possible limitation of differentially flat systems stems from the possibility of gain singularities on open or closed regions of the flat output phase space. The evasion of control gain singularity poses an important theoretical problem even under the scope of Active Disturbance Rejection control. In this article, we illustrate an interesting example of controlling a singular flat system, the inertia wheel pendulum, using the combined benefits of ADR control and flatness as applied to a carefully chosen flat tangent linearization model of the singular system.

关键词： Wheels Observers Trajectory DC motors Polynomials Gain

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An Algorithm Combining the Subspace Identification Methods ORT and CCA

An Algorithm Combining the Subspace Identification Methods O...

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IEEE Annual Conference on Decision and control

作者： Andreas Bathelt Dirk Soffker Mohieddine Jelali Laboratory of Control Engineering and Mechatronics Technische Hochschule Koln (University of Applied Science) Betzdorfer Strasse 2 50679 Cologne Germany department of Dynamics and Control University of Duisburg-Essen Lotharstrasse 1 47057 Duisburg Germany

ISBN: (纸本)9781479978878

A recent identification study using the Tennessee Eastman Process model revealed that the MOESP-based (multiple-input multiple-output output error state space) algorithm (i.e. implementation) of the subspace identification method ORT (orthogonal decomposition) underachieves given this realistic benchmark example. In this paper, the cause of this unexpected weak performance is analyzed. Based thereon an algorithm combining the idea of the ORT method with the algorithm of the CCA (canonical correlation analysis) method is proposed. Presented simulation results of this algorithm illustrate its enhanced reliability (i.e. determination of a correct model) in comparison to existing methods. This concerns the rejection of arbitrarily colored disturbances within linear systems and the identification of realistic processes like the Tennessee Eastman Process.

关键词： Subspace algorithms Identification methods Linear system Tennessee

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Selective Membrane for Detecting Nitrate based on Planar Electromagnetic Sensors Array

Selective Membrane for Detecting Nitrate based on Planar Ele...

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Asian control Conference

作者： Mohd Amri Md Yunus Sallehuddin Ibrahim Wahid Ali Hamood Altowayti Goh Pei San Subhas Chandra Mukhopadhyay Innovative Engineering Research Alliance Control and Mechatronics Engineering Department FKE Faculty of Biosciences and Medical Engineering Universiti Teknologi Malaysia Advanced Membrane Technology Research Centre Universiti Teknologi Malaysia School of Engineering and Advanced Technology Massey University

ISBN: (纸本)9781479978632

The applications of planar electromagnetic sensor are gaining worldwide attention since it was introduced due to simplicity, fast response, convenience, and low cost. Numerous membranes have been investigated to remove nitrates from aqueous solution. This paper aims to produce selective membrane for detecting nitrate ion based on planar electromagnetic sensors and compare it with conventional coating using acrylic lacquer. The preparation method of membrane in this study will reduce the cost of pretreatment as no addition of nutrients are required, thus presenting a promising alternative method. In view of this, a membrane of polymer dope of silica is selected as an alternative coater for the planar electromagnetic sensors array as to increase the selectivity in the detection of unwanted nitrate ions in aqueous solution. Finally, the methods in choosing the best coater in supporting the detection of nitrate contamination have been determined and it showed that the planar electromagnetic sensors array coated with the selective membrane yields absolute average sensitivity, |Z%| value range between the range of around 0.007% to 223%, when tested with nitrate concentrations of 5 ppm, 25 ppm, and 100 ppm, which is the highest absolute average sensitivity, |Z%| value range of the results.

关键词： Planar electromagnetic sensor array Nitrate ion selective membrane Nitrate detection

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RETRACTED ARTICLE: Potential of support vector regression for solar radiation prediction in Nigeria

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Natural Hazards 2015年第2期77卷 1055-1068页

作者： Olatomiwa, Lanre Mekhilef, Saad Shamshirband, Shahaboddin Petkovic, Dalibor Power Electronics and Renewable Energy Research Laboratory (PEARL) Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia Department of Electrical and Electronic Engineering Federal University of Technology Minna Nigeria Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia

In this paper, the accuracy of soft computing technique in solar radiation prediction based on series of measured meteorological data (monthly mean sunshine duration, monthly mean maximum and minimum temperature) taking from Iseyin meteorological station in Nigeria was examined. The process, which simulates the solar radiation with support vector regression (SVR), was constructed. The inputs were monthly mean maximum temperature (Tmax), monthly mean minimum temperature (Tmin) and monthly mean sunshine duration ( $$ \bar{n} $$ ). Polynomial and radial basis functions (RBF) are applied as the SVR kernel function to estimate solar radiation. According to the results, a greater improvement in estimation accuracy can be achieved through the SVR with polynomial basis function compared to RBF. The SVR coefficient of determination R 2 with the polynomial function was 0.7395 and with the radial basis function, the R 2 was 0.5877.

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Complexity of Cerebral Blood Flow Velocity and Arterial Blood Pressure in Subarachnoid Hemorrhage Using Time-Frequency Analysis

Complexity of Cerebral Blood Flow Velocity and Arterial Bloo...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Michal M. Placek Pawel Wachel Marek Czosnyka Martin Soehle Peter Smielewski Magdalena Kasprowicz the Department of Biomedical Engineering Department of Control Systems and Mechatronics and with the Department of Biomedical Engineering Wroclaw University of Technology Wroclaw Poland. the Division of Neurosurgery University of Cambridge Department of Clinical Neuroscience Cambridge UK the Department of Anaesthesiology and Intensive Care Medicine University of Bonn Bonn Germany

ISBN: (纸本)9781424492695

We investigated changes of time-frequency (TF) complexity, in terms of Rényi entropy and a measure of concentration, of middle cerebral blood flow velocity (CBFV) and arterial blood pressure in relation to the development of cerebral vasospasm in 15 patients after aneurysmal subarachnoid hemorrhage. Interhemispheric differences in the period of no vasospasm and vasospasm were also compared. Results show reduced complexity of TF representations of CBFV on the side of aneurysm before vasospasm was identified. This potentially can serve as an early-warning indicator of future derangement of cerebral circulation.

关键词： TF CBFV time-frequency

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Tandem stance avoidance using adaptive and asymmetric admittance control for fall prevention

Tandem stance avoidance using adaptive and asymmetric admitt...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Shotaro Nakagawa Pei Di Yasuhisa Hasegawa Toshio Fukuda Izumi Kondo Masanori Tanimoto Jian Huang Department of Micro-Nano Systems Engineering Nagoya University Nagoya Japan Department of Mechatronics Engineering Beijing Institute of Technology Nagoya Japan Department of Rehabilitation National Center for Geriatrics and Gerontology Obu Aichi Japan Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

Fall prevention is one of the most important functions of walking assistance devices for user's safety. It is preferable that these devices obviates factors which induce falling over rather than helping them recovering from falling motion. Tandem stance, where both legs form a line along walking direction, is a factor of falling. It is often observed in turning motion because a swing leg moves in lateral direction as well as forward. Generally, upper body's turning of a person proceeds before lower limb's turning during walking, and the behavior of the lower limb is constrained by upper body turning. It is thus possible to control behavior of the lower limb for tandem stance prevention by constraining behavior of the upper body. This paper therefore introduces a tandem stance prevention method for safer walk of the elderly or physically challenged person. The method adjusts admittance of cane robot's turning motion according to the positions of a support leg and a swing leg. The cane robot measures user's leg position and estimates a walk phase of the user. By adjusting an admittance model of the cane robot based on the walk phase, the cane robot resists to turn while support leg is on the same side of the turning direction. As a result, the tandem stance is avoided. Through experiments, we confirmed that the cane robot successfully controls user's upper body's behavior to prevent the user from being in tandem stance.

关键词： Legged locomotion Turning Admittance Senior citizens Force Robot sensing systems

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Inversion-free feedforward dynamic compensation of hysteresis nonlinearities in piezoelectric micro/nano-positioning actuators

Inversion-free feedforward dynamic compensation of hysteresi...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Omar Aljanaideh Mohammad Al Janaideh Micky Rakotondrabe Department of Automatic Control and Micro-Mechatronic Systems. (AS2M) CNRS - University of Franche-Comt at Besanon (UFC) Besanon France Department of Mechatronics Engineering University of Jordan Amman Jordan

ISBN: (纸本)9781479969241

A new methodology that employs the rate-dependent Prandtl-Ishlinskii model (RDPI) as a model and a compensator is suggested in this study for modeling and compensation of rate-dependent hysteresis nonlinearities of a piezoelectric actuator. The technique employs a restructuration of the model that ignores the need to derive an inverse model, which avoids the additional calculations required to formulate a compensator. The simulation results are presented to demonstrate the effectiveness of the strategy on modeling and compensation of hysteresis nonlinearities at various frequencies. The simulation results were followed by experimental study on a piezoelectric actuator that exhibits rate-dependent hysteresis nonlinearities. The results demonstrate that the proposed methodology can be employed effectively for compensation of rate-dependent hysteresis nonlinearities without developing an inverse model.

关键词： Hysteresis Mathematical model Piezoelectric actuators Feedforward neural networks Time-frequency analysis Predictive models

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