Pub Date : 2020-05-01DOI: 10.1109/DAS49615.2020.9108913
Onur Koca, O. Kaymakci, M. Mercimek
In production systems, the repeated breakdowns of the operation have to be taken into account with great importance. The continuation of long malfunctioning states as well as the temporary interventions involve excessive time and money costs. Industry 4.0 technologies extensively use real-time Big Data collected from the machinery, and this enables potential problems to be addressed and resolved before they become an avalanche for the company. Permanent solutions can be produced, and thereby production efficiency can be established. In this paper, utilizing the Mean Time to Failure (MTTF) values and the past breakdown history of the robot system of the production line an Artificial Neural Network (ANN) model is established for system failure prediction. The proposed model successfully manages predictive maintenance of the machinery without the use of Internet of Things (IoT) technology.
{"title":"Advanced Predictive Maintenance with Machine Learning Failure Estimation in Industrial Packaging Robots","authors":"Onur Koca, O. Kaymakci, M. Mercimek","doi":"10.1109/DAS49615.2020.9108913","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108913","url":null,"abstract":"In production systems, the repeated breakdowns of the operation have to be taken into account with great importance. The continuation of long malfunctioning states as well as the temporary interventions involve excessive time and money costs. Industry 4.0 technologies extensively use real-time Big Data collected from the machinery, and this enables potential problems to be addressed and resolved before they become an avalanche for the company. Permanent solutions can be produced, and thereby production efficiency can be established. In this paper, utilizing the Mean Time to Failure (MTTF) values and the past breakdown history of the robot system of the production line an Artificial Neural Network (ANN) model is established for system failure prediction. The proposed model successfully manages predictive maintenance of the machinery without the use of Internet of Things (IoT) technology.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130625230","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 : 2020-05-01DOI: 10.1109/DAS49615.2020.9108925
Meng Wang, Wenjun Wu, Yu Liang
The goal of this paper is to propose the concept, structure and implementation of a novel intelligent tutoring system designed for beginners in C language and Python. The system is implemented by adding the functions of code classification, program error repair and personal knowledge tracing to an online programming practice platform. This implementation makes the original platform become more intelligent and help students learn programming better.
{"title":"A Novel Intelligent Tutoring System For Learning Programming","authors":"Meng Wang, Wenjun Wu, Yu Liang","doi":"10.1109/DAS49615.2020.9108925","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108925","url":null,"abstract":"The goal of this paper is to propose the concept, structure and implementation of a novel intelligent tutoring system designed for beginners in C language and Python. The system is implemented by adding the functions of code classification, program error repair and personal knowledge tracing to an online programming practice platform. This implementation makes the original platform become more intelligent and help students learn programming better.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122392620","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 : 2020-05-01DOI: 10.1109/DAS49615.2020.9108930
I. Zagan, V. Gaitan
The design of an RTOS (real-time operation system) kernel is mostly based on a preemptive scheduler that responds to events and interrupts according to the priorities. The hardware RTOS (HW-RTOS) concept includes a real-time scheduler which ensures a deterministic execution of a set of tasks by implementing in hardware the appropriate scheduling algorithms, similar to those of the RTOS. The contributions of this paper consist in presenting original methods that contribute to increasing the performance of the RTOS, to reduce the jitter effect by implementing a unified space of task and event priorities, to increase the execution factor and controlling the RTS (real-time system) scheduling limit, by implementing the real-time event handling unit.
{"title":"Improving the performance of Real-Time Event Processing based on Preemptive Scheduler FPGA Implementation","authors":"I. Zagan, V. Gaitan","doi":"10.1109/DAS49615.2020.9108930","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108930","url":null,"abstract":"The design of an RTOS (real-time operation system) kernel is mostly based on a preemptive scheduler that responds to events and interrupts according to the priorities. The hardware RTOS (HW-RTOS) concept includes a real-time scheduler which ensures a deterministic execution of a set of tasks by implementing in hardware the appropriate scheduling algorithms, similar to those of the RTOS. The contributions of this paper consist in presenting original methods that contribute to increasing the performance of the RTOS, to reduce the jitter effect by implementing a unified space of task and event priorities, to increase the execution factor and controlling the RTS (real-time system) scheduling limit, by implementing the real-time event handling unit.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132099122","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 : 2020-05-01DOI: 10.1109/DAS49615.2020.9108974
M. Nicola, C. Nicola, D. Sacerdoțianu
This article presents the sensorless control system of a PMSM (Permanent Magnet Synchronous Motor) based on the DTC (Direct Torque Control) control strategy, where the speed controller is of ILC (Iterative Learning Control) type. This control system is recommended in case of the repetitive tasks performed by the PMSM control system. Also, the superiority of the ILC controller leads to good performance if the load torque (considered as a disturbing signal for the speed control system) has an oscillating variation. In order to increase the reliability of the control system, the speed sensor is replaced with a MRAS (Model Reference Adaptive System) speed observer. The article presents the equations of the PMSM, of the control system, of the observer and the implementation in Matlab/Simulink. The results obtained are presented comparatively for PI, PI-ILC law speed controllers. The superior performance and the parametric robustness are noted for the PI-ILC law speed controller. Based on the results obtained through numerical simulations, the implementation in embedded systems is recommended, in future papers.
{"title":"Sensorless Control of PMSM using DTC Strategy Based on PI-ILC Law and MRAS Observer","authors":"M. Nicola, C. Nicola, D. Sacerdoțianu","doi":"10.1109/DAS49615.2020.9108974","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108974","url":null,"abstract":"This article presents the sensorless control system of a PMSM (Permanent Magnet Synchronous Motor) based on the DTC (Direct Torque Control) control strategy, where the speed controller is of ILC (Iterative Learning Control) type. This control system is recommended in case of the repetitive tasks performed by the PMSM control system. Also, the superiority of the ILC controller leads to good performance if the load torque (considered as a disturbing signal for the speed control system) has an oscillating variation. In order to increase the reliability of the control system, the speed sensor is replaced with a MRAS (Model Reference Adaptive System) speed observer. The article presents the equations of the PMSM, of the control system, of the observer and the implementation in Matlab/Simulink. The results obtained are presented comparatively for PI, PI-ILC law speed controllers. The superior performance and the parametric robustness are noted for the PI-ILC law speed controller. Based on the results obtained through numerical simulations, the implementation in embedded systems is recommended, in future papers.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"2003 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125768808","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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