Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261674
Aldo Márquez-Grajales, H. Acosta-Mesa, E. Mezura-Montes
In this work, an adaptive algorithm for the symbolic discretization of time series is introduced. This approach, called MODiTS, consists of defining a different alphabet vector for each word segment. The number of alphabets and the word size are optimized automatically using a well-known multi-objective algorithm: Non-dominated Sorting Genetic Algorithm (NSGA-II). NSGA-II was adapted to help find the appropriate symbolic representation scheme for each temporal database based on the minimization of three objective functions (Entropy, Complexity, and Compression). Each scheme was evaluated based on the misclassification error rate calculated by means of the Decision Tree, which also provides relevant information about the regions, relationships or patterns within each database, in addition to its function as a descriptive tool to help understand temporal data. Our proposal was compared with two symbolic discretization algorithms: Symbolic Aggregate approximation (SAX), and Evolutionary Programming (EP). The statistical results suggest that our algorithm is a useful tool in finding competitive symbolic representation schemes with a lower dimensionality reduction rate and an acceptable level of classification error.
{"title":"An adaptive symbolic discretization scheme for the classification of temporal datasets using NSGA-II","authors":"Aldo Márquez-Grajales, H. Acosta-Mesa, E. Mezura-Montes","doi":"10.1109/ROPEC.2017.8261674","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261674","url":null,"abstract":"In this work, an adaptive algorithm for the symbolic discretization of time series is introduced. This approach, called MODiTS, consists of defining a different alphabet vector for each word segment. The number of alphabets and the word size are optimized automatically using a well-known multi-objective algorithm: Non-dominated Sorting Genetic Algorithm (NSGA-II). NSGA-II was adapted to help find the appropriate symbolic representation scheme for each temporal database based on the minimization of three objective functions (Entropy, Complexity, and Compression). Each scheme was evaluated based on the misclassification error rate calculated by means of the Decision Tree, which also provides relevant information about the regions, relationships or patterns within each database, in addition to its function as a descriptive tool to help understand temporal data. Our proposal was compared with two symbolic discretization algorithms: Symbolic Aggregate approximation (SAX), and Evolutionary Programming (EP). The statistical results suggest that our algorithm is a useful tool in finding competitive symbolic representation schemes with a lower dimensionality reduction rate and an acceptable level of classification error.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466284","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261615
J. Espinoza, L. González, Rodrigo E. Sempertegui
This article presents to the scientific community technical and management issues taken into account for the implementation of the Micro Grid Laboratory, which will be part of “Balzay” Scientific, Technological and Research Center of the University of Cuenca. The paper describes the components that integrate the generation, storage and consumption of electrical energy from a combination of renewable and non-renewable sources that allow the emulation of a distributed generation network with the possibility of establishing technical criteria to recreate an intelligent network (Smart grid). The generation, storage and consumption components of the laboratory can interact through a control, monitoring and data acquisition system (SCADA) that allows automation of energy management for teaching and research purposes, as well as the possibility of interconnection with the local grid.
{"title":"Micro grid laboratory as a tool for research on non-conventional energy sources in Ecuador","authors":"J. Espinoza, L. González, Rodrigo E. Sempertegui","doi":"10.1109/ROPEC.2017.8261615","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261615","url":null,"abstract":"This article presents to the scientific community technical and management issues taken into account for the implementation of the Micro Grid Laboratory, which will be part of “Balzay” Scientific, Technological and Research Center of the University of Cuenca. The paper describes the components that integrate the generation, storage and consumption of electrical energy from a combination of renewable and non-renewable sources that allow the emulation of a distributed generation network with the possibility of establishing technical criteria to recreate an intelligent network (Smart grid). The generation, storage and consumption components of the laboratory can interact through a control, monitoring and data acquisition system (SCADA) that allows automation of energy management for teaching and research purposes, as well as the possibility of interconnection with the local grid.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054056","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261656
Adalberto Ospino-Castro, R. Peña-Gallardo, Aurelio Hernández- Rodríguez, J. Segundo-Ramírez, Y. Muñoz-Maldonado
This paper presents a study of the installation of a hybrid PV-Wind power generation system for social interest houses in the city of San Luis Potosi, Mexico. To assess the benefits of the implementation of this type of systems, a technological, economic and environmental evaluation is carried out based on the available renewable energy resources and considering a typical load profile of consumers. The obtained results show the feasibility of installation of small capacity hybrid generation systems in the city, however governmental incentives must be implemented to make more attractive and affordable the proposed systems for medium/low income users.
{"title":"Techno-economic evaluation of a grid-connected hybrid PV-wind power generation system in San Luis Potosi, Mexico","authors":"Adalberto Ospino-Castro, R. Peña-Gallardo, Aurelio Hernández- Rodríguez, J. Segundo-Ramírez, Y. Muñoz-Maldonado","doi":"10.1109/ROPEC.2017.8261656","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261656","url":null,"abstract":"This paper presents a study of the installation of a hybrid PV-Wind power generation system for social interest houses in the city of San Luis Potosi, Mexico. To assess the benefits of the implementation of this type of systems, a technological, economic and environmental evaluation is carried out based on the available renewable energy resources and considering a typical load profile of consumers. The obtained results show the feasibility of installation of small capacity hybrid generation systems in the city, however governmental incentives must be implemented to make more attractive and affordable the proposed systems for medium/low income users.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117171055","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261676
L. R. Merchan-Villalba, C. A. Carreño-meneses, A. Pizano-Martinez, E. Zamora-Cardenas, X. González-Ramírez, J. M. Lozano-García
Voltage sags are one of the most common and serious problems present in the distribution electrical systems, that affect the power quality in a significant way. Through the Dynamic Voltage Restorer (DVR), as a device for mitigating voltage variations, good results have been obtained. In this paper, it is analyzed a DVR topology based on the functionality of a Matrix Converter to generate the compensation voltage needed to compensate deep voltage sags. The DVR is placed on the load side of the system, taking the compensation energy from the load bus after the compensation has taken place, in order to be able to attenuate voltage sags. The model for the system is developed in the time dq0 reference frame as well as the controller. Finally, the analysis for the closed loop system stability is carried out and in order to verify the performance of the compensation system, and numerical simulations implemented in SimpowerSystems™ of Matlab ®/Simulink are presented.
{"title":"Load-side DVR based on matrix converter for deep voltage sags compensation","authors":"L. R. Merchan-Villalba, C. A. Carreño-meneses, A. Pizano-Martinez, E. Zamora-Cardenas, X. González-Ramírez, J. M. Lozano-García","doi":"10.1109/ROPEC.2017.8261676","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261676","url":null,"abstract":"Voltage sags are one of the most common and serious problems present in the distribution electrical systems, that affect the power quality in a significant way. Through the Dynamic Voltage Restorer (DVR), as a device for mitigating voltage variations, good results have been obtained. In this paper, it is analyzed a DVR topology based on the functionality of a Matrix Converter to generate the compensation voltage needed to compensate deep voltage sags. The DVR is placed on the load side of the system, taking the compensation energy from the load bus after the compensation has taken place, in order to be able to attenuate voltage sags. The model for the system is developed in the time dq0 reference frame as well as the controller. Finally, the analysis for the closed loop system stability is carried out and in order to verify the performance of the compensation system, and numerical simulations implemented in SimpowerSystems™ of Matlab ®/Simulink are presented.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171994","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261590
Juan Reyes-Luévano, E. Ruiz-Beltrán, L. A. Castañeda-Ramos, J. Orozco-Mora
This paper presents a structural analysis and proposes an online fault detection and location scheme for Flexible Manufacturing Systems (FMS) based on Complex Network theory. The results are applied to a canning system and they indicate that the methodology of design and built of these systems, gives scale free networks. In consequence, these systems present an acceptable tolerance to random failures and are extremely vulnerable to attacks in elements with a high degree (Hubs). In terms of this analysis, an online monitoring system and signals acquisition is designed to implement two fault detection schemas: 1) Fault detection for abrupt changes in the derivatives of the ith order of linear time invariant (LTI) systems, and 2) Model of bands and components of bands of homogeneous complex networks. The experimental results of the implementation of the monitoring system in the detection and location of faults in a canning system were satisfactory.
{"title":"Structural analysis and fault detection on manufacturing systems: A complex network approach","authors":"Juan Reyes-Luévano, E. Ruiz-Beltrán, L. A. Castañeda-Ramos, J. Orozco-Mora","doi":"10.1109/ROPEC.2017.8261590","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261590","url":null,"abstract":"This paper presents a structural analysis and proposes an online fault detection and location scheme for Flexible Manufacturing Systems (FMS) based on Complex Network theory. The results are applied to a canning system and they indicate that the methodology of design and built of these systems, gives scale free networks. In consequence, these systems present an acceptable tolerance to random failures and are extremely vulnerable to attacks in elements with a high degree (Hubs). In terms of this analysis, an online monitoring system and signals acquisition is designed to implement two fault detection schemas: 1) Fault detection for abrupt changes in the derivatives of the ith order of linear time invariant (LTI) systems, and 2) Model of bands and components of bands of homogeneous complex networks. The experimental results of the implementation of the monitoring system in the detection and location of faults in a canning system were satisfactory.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125380373","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261624
C. Perez-Ramirez, Martin Valtierra- Rodriguez, A. Dominguez-Gonzalez, J. Amezquita-Sanchez, D. Camarena-Martinez, R. J. R. Troncoso
Electrical machines, in particular induction motors (IM), are important parts in an industrial plant, representing an 89% of power consumption. Bearings are important parts of the induction motors and one of the principal causes of their malfunction; hence, bearing fault early detection is very important, however its detection is a challenging because the measured signals are acquired in noisy conditions and have transient characteristics. Hence, a system to detect the potential faults into bearings of rotatory machinery in their early stage can have a potential benefit in industry. In this work, a novel proposal that makes use of the homogeneity (HO) algorithm for the bearing defect, in particular the outer race (OBD), detection is presented. The HO method is introduced for the first time to detect the changes produced in the normal regime (steady-state) vibration signals of an IM by the OBD. These signals can contain subtle modifications on motor dynamic features due to the fault presence. The presented results show the proposed methodology is capable of distinguishing between a motor with OBD and a healthy motor with a high efficiency.
{"title":"Homogeneity-based approach for bearing fault detection in induction motors by means of vibrations","authors":"C. Perez-Ramirez, Martin Valtierra- Rodriguez, A. Dominguez-Gonzalez, J. Amezquita-Sanchez, D. Camarena-Martinez, R. J. R. Troncoso","doi":"10.1109/ROPEC.2017.8261624","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261624","url":null,"abstract":"Electrical machines, in particular induction motors (IM), are important parts in an industrial plant, representing an 89% of power consumption. Bearings are important parts of the induction motors and one of the principal causes of their malfunction; hence, bearing fault early detection is very important, however its detection is a challenging because the measured signals are acquired in noisy conditions and have transient characteristics. Hence, a system to detect the potential faults into bearings of rotatory machinery in their early stage can have a potential benefit in industry. In this work, a novel proposal that makes use of the homogeneity (HO) algorithm for the bearing defect, in particular the outer race (OBD), detection is presented. The HO method is introduced for the first time to detect the changes produced in the normal regime (steady-state) vibration signals of an IM by the OBD. These signals can contain subtle modifications on motor dynamic features due to the fault presence. The presented results show the proposed methodology is capable of distinguishing between a motor with OBD and a healthy motor with a high efficiency.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714554","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261691
José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Jesus Ortiz-Bejar, Daniela Moctezuma, Claudia N. Sánchez
In this manuscript, we describe our solution for the RedICA Text-Image Matching (RICATIM) challenge. This challenge aims to tackle the image-text matching problem as one of binary classification, that is, given an image-text pair. Therefore, a valid solution must determine if the relation between the image and text is valid. The RICATIM dataset contains a large number of examples that were used to create an algorithm that effectively learns the underlying relations. Vision and language classifiers must deal with high dimensional data; therefore, traditional classification methods increase their learning time and also tend to perform poorly. To tackle the RICATIM challenge, we introduce a novelty approach that improves the classification based on k-nearest neighbor (KNN) classifier. Our proposal relies on the solution of the k centers problem using the Farthest First Traversal algorithm, along with a kernel function. We use those techniques to reduce the dimension effectively while improving the performance of the KNN classifiers. We provide an experimental comparison of our approach showing a significant improvement of state of the art.
{"title":"I3GO+ at RICATIM 2017: A semi-supervised approach to determine the relevance between images and text-annotations","authors":"José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Jesus Ortiz-Bejar, Daniela Moctezuma, Claudia N. Sánchez","doi":"10.1109/ROPEC.2017.8261691","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261691","url":null,"abstract":"In this manuscript, we describe our solution for the RedICA Text-Image Matching (RICATIM) challenge. This challenge aims to tackle the image-text matching problem as one of binary classification, that is, given an image-text pair. Therefore, a valid solution must determine if the relation between the image and text is valid. The RICATIM dataset contains a large number of examples that were used to create an algorithm that effectively learns the underlying relations. Vision and language classifiers must deal with high dimensional data; therefore, traditional classification methods increase their learning time and also tend to perform poorly. To tackle the RICATIM challenge, we introduce a novelty approach that improves the classification based on k-nearest neighbor (KNN) classifier. Our proposal relies on the solution of the k centers problem using the Farthest First Traversal algorithm, along with a kernel function. We use those techniques to reduce the dimension effectively while improving the performance of the KNN classifiers. We provide an experimental comparison of our approach showing a significant improvement of state of the art.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128071433","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261631
Orlando I. Hernández-Cortéz, R. Loera-Palomo, Michel Alejandro Rivero-Corona, J. Morales-Saldaña
A maximum power point tracking (MPPT) scheme based on a general pulse width modulation (PWM) modulator is presented. The purpose of the scheme is that switching converter behaves as a resistor seen by the photovoltaic module, it also regulates the input voltage to a desired value. The MPPT scheme is applied to a noncascading converter topology, which has the characteristic of processing a fraction of the total power generated.
{"title":"A maximum power point control scheme applied to a noncascading dc-dc converter for a PV system","authors":"Orlando I. Hernández-Cortéz, R. Loera-Palomo, Michel Alejandro Rivero-Corona, J. Morales-Saldaña","doi":"10.1109/ROPEC.2017.8261631","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261631","url":null,"abstract":"A maximum power point tracking (MPPT) scheme based on a general pulse width modulation (PWM) modulator is presented. The purpose of the scheme is that switching converter behaves as a resistor seen by the photovoltaic module, it also regulates the input voltage to a desired value. The MPPT scheme is applied to a noncascading converter topology, which has the characteristic of processing a fraction of the total power generated.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151568","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261671
Jonatan Morales-Contreras, E. Ruiz‐Velázquez, J. García-Rodríguez
Diabetes Mellitus (DM) is a disease which afflicts a large group of the world population. It affects people from any socio-economic status, physical characteristics, age or gender. This pathology is a major public health problem and it has been focused as a disease requiring priority attention. In this way, the idea of an artificial pancreas has become one of the areas of research for multiple disciplines because it offers a promising approach for Type 1 Diabetes Mellitus (T1DM) treatment. The aim of this artificial pancreas is to reduce disease complications despite the variability of internal and external body conditions. This variability can be treated as parametric perturbations or uncertainties. In this contribution a sensitivity analysis is performed on the mathematical model that represents a T1DM subject, resulting in six parameters as the most representative to characterize parametric uncertainty. The work is focused on the synthesis of a robust controller using the μ-synthesis technique in order to obtain a glycemic controller for a subject with T1DM. Moreover, a new transfer function Ps was identified in order to describe the characteristics of the TheraSense FreeStyle Navigator glucose sensor. This last was employed in controller design. The performance of this controller was tested in the well-known UVa/Padova simulator.
{"title":"Robust glucose control via μ-synthesis in type 1 diabetes mellitus","authors":"Jonatan Morales-Contreras, E. Ruiz‐Velázquez, J. García-Rodríguez","doi":"10.1109/ROPEC.2017.8261671","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261671","url":null,"abstract":"Diabetes Mellitus (DM) is a disease which afflicts a large group of the world population. It affects people from any socio-economic status, physical characteristics, age or gender. This pathology is a major public health problem and it has been focused as a disease requiring priority attention. In this way, the idea of an artificial pancreas has become one of the areas of research for multiple disciplines because it offers a promising approach for Type 1 Diabetes Mellitus (T1DM) treatment. The aim of this artificial pancreas is to reduce disease complications despite the variability of internal and external body conditions. This variability can be treated as parametric perturbations or uncertainties. In this contribution a sensitivity analysis is performed on the mathematical model that represents a T1DM subject, resulting in six parameters as the most representative to characterize parametric uncertainty. The work is focused on the synthesis of a robust controller using the μ-synthesis technique in order to obtain a glycemic controller for a subject with T1DM. Moreover, a new transfer function Ps was identified in order to describe the characteristics of the TheraSense FreeStyle Navigator glucose sensor. This last was employed in controller design. The performance of this controller was tested in the well-known UVa/Padova simulator.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794642","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 : 2017-11-01DOI: 10.1109/ROPEC.2017.8261579
Alejandro Cañizares, Jean Pazos, D. Benítez
This article explores the feasibility of using 3D-printable technology towards the development of low cost robotic prosthetics. As an initial validation, two prototypes were fabricated: a hand with 5 fingers controlled by a wearable instrumented glove and a hand-arm that can be controlled by flexing any muscle in the user's arm through a sensor that collects electromyographic (EMG) signals from the muscle. Finger motions were controlled by servomotors which work as actuators while the rotation of each servomotor was controlled using microcontrollers. The aim was to demonstrate the feasibility of using 3D printing technology for building a prototype of a controlled hand as a first step towards the development of low cost prosthesis as a possible aid for low income people with disabilities.
{"title":"On the use of 3D printing technology towards the development of a low-cost robotic prosthetic arm","authors":"Alejandro Cañizares, Jean Pazos, D. Benítez","doi":"10.1109/ROPEC.2017.8261579","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261579","url":null,"abstract":"This article explores the feasibility of using 3D-printable technology towards the development of low cost robotic prosthetics. As an initial validation, two prototypes were fabricated: a hand with 5 fingers controlled by a wearable instrumented glove and a hand-arm that can be controlled by flexing any muscle in the user's arm through a sensor that collects electromyographic (EMG) signals from the muscle. Finger motions were controlled by servomotors which work as actuators while the rotation of each servomotor was controlled using microcontrollers. The aim was to demonstrate the feasibility of using 3D printing technology for building a prototype of a controlled hand as a first step towards the development of low cost prosthesis as a possible aid for low income people with disabilities.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154942","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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