Pub Date : 2018-08-27DOI: 10.1109/MESA.2018.8449149
Chien-Sheng Liu, Yu-An Li
For the grinding machine tool, the loading effect is a common phenomenon causing grinding wheel wear. This phenomenon will also cause the deterioration of the grinding wheel cutting capability, requiring a large grinding force, and it will increase the vibration and temperature of the machine. Therefore, the identification of influences from the loading effect is an important subject in grinding machines. We can know the status of a machine for manufacturing grinding through its acoustic emission (AE) signal. We hope that it can eventually be applied to the grinding tool machine for the purpose of online monitoring, achieving an AE pre-alarm system for the loading effect, reducing machine manufacturing errors, and improving grinding machine precision.
{"title":"The sensing technology of applying the acoustic emission sensor to the grinding wheel loading phenomenon","authors":"Chien-Sheng Liu, Yu-An Li","doi":"10.1109/MESA.2018.8449149","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449149","url":null,"abstract":"For the grinding machine tool, the loading effect is a common phenomenon causing grinding wheel wear. This phenomenon will also cause the deterioration of the grinding wheel cutting capability, requiring a large grinding force, and it will increase the vibration and temperature of the machine. Therefore, the identification of influences from the loading effect is an important subject in grinding machines. We can know the status of a machine for manufacturing grinding through its acoustic emission (AE) signal. We hope that it can eventually be applied to the grinding tool machine for the purpose of online monitoring, achieving an AE pre-alarm system for the loading effect, reducing machine manufacturing errors, and improving grinding machine precision.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126585713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate lateral trajectory tracking control of powered parafoil system with high capacity of resisting wind disturbance still remains a challenging problem. To reduce the influence of variable wind disturbance on the lateral yaw angle control system of the powered parafoil, a novel control approach combining wind compensation with active disturbance rejection control (ADRC) is proposed. The wind dynamic feedforward compensation controller and ADRC are respectively designed. The wind disturbance can be directly compensated in the control process, such that the trajectory tracking precision and disturbance-rejection capacity can be enhanced simultaneously. Mathematical simulations show that, the proposed control approach possesses better control performances and robustness compared with classical ADRC and PID.
{"title":"Lateral control approach of powered parafoils combining wind feedforward compensation with active disturbance rejection control","authors":"Shuzhen Luo, Qinglin Sun, Mingwei Sun, Hao Sun, Wannan Wu, Zengqiang Chen","doi":"10.1109/MESA.2018.8449189","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449189","url":null,"abstract":"Accurate lateral trajectory tracking control of powered parafoil system with high capacity of resisting wind disturbance still remains a challenging problem. To reduce the influence of variable wind disturbance on the lateral yaw angle control system of the powered parafoil, a novel control approach combining wind compensation with active disturbance rejection control (ADRC) is proposed. The wind dynamic feedforward compensation controller and ADRC are respectively designed. The wind disturbance can be directly compensated in the control process, such that the trajectory tracking precision and disturbance-rejection capacity can be enhanced simultaneously. Mathematical simulations show that, the proposed control approach possesses better control performances and robustness compared with classical ADRC and PID.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121079534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449197
M. Callegari, G. Palmieri, M. Palpacelli, R. Bussola, G. Legnani
The paper analyses the potential dynamic performance of a novel redundant SCARA robot, developed at the stage of functional design, with respect to the conventional model of the same manufacturer. It is shown that the introduction of a further revolute joint leads to some improvements in the kinematic and dynamic behaviour at the expense of a greater complexity. The static and dynamic manipulability of both the conventional and the redundant robot are investigated and typical pick and place tasks are simulated to compare the arising cycle times.
{"title":"Performance Analysis of a High-Speed Redundant Robot","authors":"M. Callegari, G. Palmieri, M. Palpacelli, R. Bussola, G. Legnani","doi":"10.1109/MESA.2018.8449197","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449197","url":null,"abstract":"The paper analyses the potential dynamic performance of a novel redundant SCARA robot, developed at the stage of functional design, with respect to the conventional model of the same manufacturer. It is shown that the introduction of a further revolute joint leads to some improvements in the kinematic and dynamic behaviour at the expense of a greater complexity. The static and dynamic manipulability of both the conventional and the redundant robot are investigated and typical pick and place tasks are simulated to compare the arising cycle times.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449183
Mehdi Mahmoodpour, A. Lobov, Minna Lanz, P. Mäkelä, Niko Rundas
The competition among manufacturers in the global markets calls for the enhancement of the agility and performance of the production process and the quality of products. As a result, the production systems should be designed in such a way to provide decision makers with visibility and analytics. To fulfill these objectives, the development of information systems in manufacturing industries has intensified in the past few years. On the other hand, the volume of data which is being generated on the shop floor is rising. To improve the efficiency of manufacturing processes, this amount of data should be analyzed by decision makers. To cope with this challenge, advanced visualization is needed to assist users to gain insight into data and make effective decisions faster. This paper describes an approach for building a role-based visualization of industrial IoT. We propose an extendible architecture that anticipates the future growth of data. By using the IoT platform introduced in this paper, selected Key Performance Indicators(KPI) can be monitored by different levels of enterprise. The prototype IoT dashboard has been implemented for a pilot production line “Festo didactic training line” located in Seinäjoki University of Applied Sciences(SeAMK) and results have been validated.
{"title":"Role-based visualization of industrial IoT-based systems","authors":"Mehdi Mahmoodpour, A. Lobov, Minna Lanz, P. Mäkelä, Niko Rundas","doi":"10.1109/MESA.2018.8449183","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449183","url":null,"abstract":"The competition among manufacturers in the global markets calls for the enhancement of the agility and performance of the production process and the quality of products. As a result, the production systems should be designed in such a way to provide decision makers with visibility and analytics. To fulfill these objectives, the development of information systems in manufacturing industries has intensified in the past few years. On the other hand, the volume of data which is being generated on the shop floor is rising. To improve the efficiency of manufacturing processes, this amount of data should be analyzed by decision makers. To cope with this challenge, advanced visualization is needed to assist users to gain insight into data and make effective decisions faster. This paper describes an approach for building a role-based visualization of industrial IoT. We propose an extendible architecture that anticipates the future growth of data. By using the IoT platform introduced in this paper, selected Key Performance Indicators(KPI) can be monitored by different levels of enterprise. The prototype IoT dashboard has been implemented for a pilot production line “Festo didactic training line” located in Seinäjoki University of Applied Sciences(SeAMK) and results have been validated.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449190
F. Aggogeri, A. Borboni, S. Strano, M. Terzo
This works deals on the dynamics of linear actuators with an experimental set on high speed actuators. These devices are subjected to different undesired dynamic phenomena such as vibrations due to the conjunct presence of finite stiffness and non-zero inertia associated to other eventual dynamical characteristics. Specifically, the attention of this paper is associated to vibrations due to command motion distortion associated to discretization and to successive conversion to a continuous function through DAC (Digital to Analog Converter). To reduce undesired dynamical phenomena, different DACs implement interpolation algorithms. This work analyzes numerically and experimentally the effects of different interpolation approaches in the time domain. Results show how: increasing sample dimension decreases error; truncation affects asymptotic error over the sample dimension; the effect of the type of interpolation is sensible only with a low sample dimension. Then experimental trials was realized showing that: linear interpolation exhibits an increment of measured acceleration with decreasing sample size; Hermite interpolation produced measured acceleration that does not depend on sample size; Bezier interpolation produced the lowest measured acceleration. Thus, the best interpolation method can be adopted, according with the constraints of the specific problem.
{"title":"Effects of DAC interpolation on the dynamics of a high speed linear actuator","authors":"F. Aggogeri, A. Borboni, S. Strano, M. Terzo","doi":"10.1109/MESA.2018.8449190","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449190","url":null,"abstract":"This works deals on the dynamics of linear actuators with an experimental set on high speed actuators. These devices are subjected to different undesired dynamic phenomena such as vibrations due to the conjunct presence of finite stiffness and non-zero inertia associated to other eventual dynamical characteristics. Specifically, the attention of this paper is associated to vibrations due to command motion distortion associated to discretization and to successive conversion to a continuous function through DAC (Digital to Analog Converter). To reduce undesired dynamical phenomena, different DACs implement interpolation algorithms. This work analyzes numerically and experimentally the effects of different interpolation approaches in the time domain. Results show how: increasing sample dimension decreases error; truncation affects asymptotic error over the sample dimension; the effect of the type of interpolation is sensible only with a low sample dimension. Then experimental trials was realized showing that: linear interpolation exhibits an increment of measured acceleration with decreasing sample size; Hermite interpolation produced measured acceleration that does not depend on sample size; Bezier interpolation produced the lowest measured acceleration. Thus, the best interpolation method can be adopted, according with the constraints of the specific problem.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114201156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449148
A. Bonci, G. Rizzello, S. Longhi, D. Naso, M. Pirani, S. Seelecke, Emanuele Lorenzoni
The present paper deals with a novel, alternative excitation device for vibratory feeders which is based on the use of smart materials for motion generation. In particular, the paper investigates how to improve the performance of a vibratory conveyor by replacing the traditional electromagnetic actuator with a new excitation system based on innovative dielectric elastomer membranes. One of the main research goals consists in the design of the dielectric elastomer actuator (geometry, number of membrane layers) in order to ensure to the conveyor the same basic vibratory performance of a conveyor driven by electromagnetic actuator. At the same time, it is expected that the novel actuator solution leads to improved characteristics in terms of energy consumption and weight. A comparative performance analysis has been carried out in terms of frequency, transient, energy, and power responses. The simulation tests performed to characterize the dynamic behavior of the system have been described along with the promising preliminary results.
{"title":"Simulation Analysis and Performance Evaluation of a Vibratory Feeder Actuated by Dielectric Elastomers","authors":"A. Bonci, G. Rizzello, S. Longhi, D. Naso, M. Pirani, S. Seelecke, Emanuele Lorenzoni","doi":"10.1109/MESA.2018.8449148","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449148","url":null,"abstract":"The present paper deals with a novel, alternative excitation device for vibratory feeders which is based on the use of smart materials for motion generation. In particular, the paper investigates how to improve the performance of a vibratory conveyor by replacing the traditional electromagnetic actuator with a new excitation system based on innovative dielectric elastomer membranes. One of the main research goals consists in the design of the dielectric elastomer actuator (geometry, number of membrane layers) in order to ensure to the conveyor the same basic vibratory performance of a conveyor driven by electromagnetic actuator. At the same time, it is expected that the novel actuator solution leads to improved characteristics in terms of energy consumption and weight. A comparative performance analysis has been carried out in terms of frequency, transient, energy, and power responses. The simulation tests performed to characterize the dynamic behavior of the system have been described along with the promising preliminary results.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124335763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449170
Z. Zhong, Jian-Hui Richard Yee
This study was conducted in three stages through a number of single and multi-objective Particle Swarm Optimization (PSO) simulations. In the first two stages, simulations were performed to assess the feasibility and effectiveness of the optimization algorithms and to study the efficiency of the Air Route Networks (ARNs) based on these algorithms. In the third stage, these PSO algorithms were applied to a South East Asia focused ARN. The ARN's efficiency indicators used were two principle objectives. Findings from this study can be used as a basis for future ARN designs. The optimization algorithms studied can serve as fundamental templates for future ARN simulation analyses.
{"title":"Study of Optimization of Air Route Networks and Locations of Crossing Waypoints for SEA","authors":"Z. Zhong, Jian-Hui Richard Yee","doi":"10.1109/MESA.2018.8449170","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449170","url":null,"abstract":"This study was conducted in three stages through a number of single and multi-objective Particle Swarm Optimization (PSO) simulations. In the first two stages, simulations were performed to assess the feasibility and effectiveness of the optimization algorithms and to study the efficiency of the Air Route Networks (ARNs) based on these algorithms. In the third stage, these PSO algorithms were applied to a South East Asia focused ARN. The ARN's efficiency indicators used were two principle objectives. Findings from this study can be used as a basis for future ARN designs. The optimization algorithms studied can serve as fundamental templates for future ARN simulation analyses.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127781508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449175
Ching-Yuan Chang, Jyun-You Hong, Wei-Chieh Chang
Preventive maintenance of electromechanical systems avoids unexpected errors of motors, in which interior faults from wires, bearings, stator and rotors may induce rising temperature, mechanical deformation and structural vibration. Those coupled defects undermine efficiency and stability of rotational mechanism. Correct classification of those interior defects is one of key issues for preventive maintenance and accurate diagnosis is important work to precisely locating the poison of interior errors using sensors and algorithms. In this manner, this study presents a program for preventive maintenance of motors based on the application of support vector machine. Faults of unbalance, frictions and aging have been systematically embedded into bearings. Polyvinylidene fluoride and accelerometers have been used to retrieve time-displacement, time-acceleration, resonant frequencies. Those experimental results serve as training data for constructing hyper plane of the support vector machine. Decision based on the calibrated program automatically classifies defects of the motor system, and provides accurate result of 98 percent. The novelty of this study is not only the usages of thin film with piezoelectric sensors but also the practical applications of support vector machine with artificial intelligence.
{"title":"Preventive Maintenance of Motors and Automatic Classification of Defects using Artificial Intelligence","authors":"Ching-Yuan Chang, Jyun-You Hong, Wei-Chieh Chang","doi":"10.1109/MESA.2018.8449175","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449175","url":null,"abstract":"Preventive maintenance of electromechanical systems avoids unexpected errors of motors, in which interior faults from wires, bearings, stator and rotors may induce rising temperature, mechanical deformation and structural vibration. Those coupled defects undermine efficiency and stability of rotational mechanism. Correct classification of those interior defects is one of key issues for preventive maintenance and accurate diagnosis is important work to precisely locating the poison of interior errors using sensors and algorithms. In this manner, this study presents a program for preventive maintenance of motors based on the application of support vector machine. Faults of unbalance, frictions and aging have been systematically embedded into bearings. Polyvinylidene fluoride and accelerometers have been used to retrieve time-displacement, time-acceleration, resonant frequencies. Those experimental results serve as training data for constructing hyper plane of the support vector machine. Decision based on the calibrated program automatically classifies defects of the motor system, and provides accurate result of 98 percent. The novelty of this study is not only the usages of thin film with piezoelectric sensors but also the practical applications of support vector machine with artificial intelligence.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126400991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/MESA.2018.8449152
Chiara Calamanti, M. Paolanti, L. Romeo, Michele Bernardini, E. Frontoni
Endothelial Dysfunction is achieving increasing importance, because it is strictly related to cardiovascular risks and it provides important prognostic data in addition to the classical ones. This paper introduces a machine learning approach for predicting Endothelial Dysfunction. The approach was applied and tested on a newly collected dataset, “Endothelial Dysfunction Dataset (EDD)” and several machine learning algorithms are compared. This method comprises features related to the anthropometric or pathological characteristics of the analysed subjects. The experiments yield high accuracy, demonstrating the effectiveness and suitability of the proposed approach.
{"title":"Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction","authors":"Chiara Calamanti, M. Paolanti, L. Romeo, Michele Bernardini, E. Frontoni","doi":"10.1109/MESA.2018.8449152","DOIUrl":"https://doi.org/10.1109/MESA.2018.8449152","url":null,"abstract":"Endothelial Dysfunction is achieving increasing importance, because it is strictly related to cardiovascular risks and it provides important prognostic data in addition to the classical ones. This paper introduces a machine learning approach for predicting Endothelial Dysfunction. The approach was applied and tested on a newly collected dataset, “Endothelial Dysfunction Dataset (EDD)” and several machine learning algorithms are compared. This method comprises features related to the anthropometric or pathological characteristics of the analysed subjects. The experiments yield high accuracy, demonstrating the effectiveness and suitability of the proposed approach.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"52 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120815346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/mesa.2018.8449204
{"title":"[Copyright notice]","authors":"","doi":"10.1109/mesa.2018.8449204","DOIUrl":"https://doi.org/10.1109/mesa.2018.8449204","url":null,"abstract":"","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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