The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
A. Ozdemir - One of the best experts on this subject based on the ideXlab platform.
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System-Level RCAM Assessment of Power Transformers Using Fuzzy Multi-Attribute Scoring Procedure
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2018Co-Authors: Aysun Koksal, A. Ozdemir, Joydeep MitraAbstract:Reliability centered asset management (RCAM) based transmission Maintenance planning aims to optimize the planned transmission outage that maximizes the system reliability with reasonable costs. This study is the continuation of a recent RCAM based transformer Maintenance Procedure and proposes a revised plan that will provide better reliability indices, total costs, and longer life cycles. The proposed Procedure is applied to the power transformers in the Thrace Region Power transformers of Turkish National Power Transmission System. The results show that the criticality based revisions provide significant improvements in system reliability indices and life cycle of power transformers.
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RCAM based Maintenance plan of the power transformers using k-means clustering algorithm
2017 19th International Conference on Intelligent System Application to Power Systems (ISAP), 2017Co-Authors: Aysun Koksal, A. OzdemirAbstract:RCAM based Maintenance planning of power transmission grid aims to optimize the planned outage of the assets that maximizes the system reliability without additional cost increases. A recent RCAM based transformer Maintenance Procedure is extended to the system level and a revised Maintenance plan is proposed to achieve better reliability indices, total costs and longer life cycles. k-means clustering algorithm is used for criticality assessment and classification of the transformers with respect to two criticality criteria. The proposed classification is applied to the power transformers of Turkish National Power Transmission System and the results are discussed in terms of accuracy and the applicability.
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RCAM based asset management study for Turkish National Power Transmission System: Verification stage
2016 IEEE International Conference on Sustainable Energy Technologies (ICSET), 2016Co-Authors: Aysun Koksal, A. OzdemirAbstract:The competitive electricity market requires that the high Maintenance costs are decreased and the Maintenance efficiency are increased as well as the asset life time. The Maintenance planning based on the reliability centered Maintenance (RCAM) concept for electric transmission system aims to maximize the system reliability with reasonable costs. This study is the extension of recent RCAM based improved transformer Maintenance Procedure and constructed Asset Management (AM) plan and presents a verification method for this Procedure and AM plan. The proposed Procedure is applied to the power transformers located at the Thrace Region of Turkish National Power Transmission System.
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Determination of optimal component Maintenance process for RCAM of power transmission system using TOPSIS method
2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2016Co-Authors: Aysun H. Koksal, A. OzdemirAbstract:Restructured electric power industry has brought to necessity of minimizing the investment costs and optimizing the Maintenance costs, while improving or at least keeping the existing reliability levels. Reliability centered asset management (RCAM) aims to maximize the return on investment by optimizing the Maintenance tasks. RCAM studies involve the quantification of component and subcomponent criticality that will in turn dominate the component Maintenance tasks. This study presents improved component criticality analysis to determine optimal component Maintenance Procedure for RCAM of power transmission system using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method. The method is applied to Turkish National Power System RCAM studies.
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Improved transformer Maintenance plan for reliability centred asset management of power transmission system
IET Generation Transmission & Distribution, 2016Co-Authors: Aysun Koksal, A. OzdemirAbstract:In a competitive electric market, high Maintenance costs brought the necessity of process recruitment to increase the Maintenance process efficiency and to extend the asset life time. Reliability centred Maintenance has been continually improved together with proper asset management techniques to meet this necessity. This study presents an improved power transformer Maintenance plan for reliability centred asset management of Turkish National Power Transmission System. At first, Markov model of existing Maintenance Procedure is constructed. Model solutions are used to compute the reliability indices and the total costs of the transformer. Then, sensitivity analysis was performed to determine effective transition rates of the model. Finally, optimal Maintenance rates and corresponding reliability indices, total cost and life time were determined using actual service data and estimated transition rates. The results are compared with the existing Maintenance plan.
Aysun Koksal - One of the best experts on this subject based on the ideXlab platform.
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System-Level RCAM Assessment of Power Transformers Using Fuzzy Multi-Attribute Scoring Procedure
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2018Co-Authors: Aysun Koksal, A. Ozdemir, Joydeep MitraAbstract:Reliability centered asset management (RCAM) based transmission Maintenance planning aims to optimize the planned transmission outage that maximizes the system reliability with reasonable costs. This study is the continuation of a recent RCAM based transformer Maintenance Procedure and proposes a revised plan that will provide better reliability indices, total costs, and longer life cycles. The proposed Procedure is applied to the power transformers in the Thrace Region Power transformers of Turkish National Power Transmission System. The results show that the criticality based revisions provide significant improvements in system reliability indices and life cycle of power transformers.
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RCAM based Maintenance plan of the power transformers using k-means clustering algorithm
2017 19th International Conference on Intelligent System Application to Power Systems (ISAP), 2017Co-Authors: Aysun Koksal, A. OzdemirAbstract:RCAM based Maintenance planning of power transmission grid aims to optimize the planned outage of the assets that maximizes the system reliability without additional cost increases. A recent RCAM based transformer Maintenance Procedure is extended to the system level and a revised Maintenance plan is proposed to achieve better reliability indices, total costs and longer life cycles. k-means clustering algorithm is used for criticality assessment and classification of the transformers with respect to two criticality criteria. The proposed classification is applied to the power transformers of Turkish National Power Transmission System and the results are discussed in terms of accuracy and the applicability.
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RCAM based asset management study for Turkish National Power Transmission System: Verification stage
2016 IEEE International Conference on Sustainable Energy Technologies (ICSET), 2016Co-Authors: Aysun Koksal, A. OzdemirAbstract:The competitive electricity market requires that the high Maintenance costs are decreased and the Maintenance efficiency are increased as well as the asset life time. The Maintenance planning based on the reliability centered Maintenance (RCAM) concept for electric transmission system aims to maximize the system reliability with reasonable costs. This study is the extension of recent RCAM based improved transformer Maintenance Procedure and constructed Asset Management (AM) plan and presents a verification method for this Procedure and AM plan. The proposed Procedure is applied to the power transformers located at the Thrace Region of Turkish National Power Transmission System.
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Improved transformer Maintenance plan for reliability centred asset management of power transmission system
IET Generation Transmission & Distribution, 2016Co-Authors: Aysun Koksal, A. OzdemirAbstract:In a competitive electric market, high Maintenance costs brought the necessity of process recruitment to increase the Maintenance process efficiency and to extend the asset life time. Reliability centred Maintenance has been continually improved together with proper asset management techniques to meet this necessity. This study presents an improved power transformer Maintenance plan for reliability centred asset management of Turkish National Power Transmission System. At first, Markov model of existing Maintenance Procedure is constructed. Model solutions are used to compute the reliability indices and the total costs of the transformer. Then, sensitivity analysis was performed to determine effective transition rates of the model. Finally, optimal Maintenance rates and corresponding reliability indices, total cost and life time were determined using actual service data and estimated transition rates. The results are compared with the existing Maintenance plan.
M. Harsu - One of the best experts on this subject based on the ideXlab platform.
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Documenting Maintenance tasks using Maintenance patterns
Eighth European Conference on Software Maintenance and Reengineering 2004. CSMR 2004. Proceedings., 2004Co-Authors: I. Hammouda, M. HarsuAbstract:A common problem in software Maintenance is the lack of documentation required for carrying out the Maintenance tasks. Both expected and unexpected Maintenance tasks use and produce important information, which is not systematically recorded during the evolution of a system. As a result, Maintenance becomes unnecessarily hard. We suggest the use of Maintenance patterns to record information about Maintenance tasks. Maintenance patterns are organized collections of software elements relevant for a particular Maintenance concern. Such a pattern can be exploited for advanced tool support where the tool keeps track and guides the system developer step by step through a Maintenance Procedure.
Stephan Hummel - One of the best experts on this subject based on the ideXlab platform.
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Application of ANN for Fault Detection in Overhead Transport Systems for Semiconductor Fab
IEEE Transactions on Semiconductor Manufacturing, 2020Co-Authors: Artem Zhakov, Armin Siegel, Sebastian Rank, Thorsten Schmidt, Lars Fienhold, Stephan HummelAbstract:In order to ensure safe and fast transportation of wafers in 300 mm semiconductor factories, overhead transport systems (OHT) are primarily used. These systems consist of a rail network and vehicles. To avoid congestion and delays in production, high availability of individual rail sections is essential. In order to ensure this extensive preventive Maintenance is required. In this paper, we focus on automatic checks for faults of the rail network by capturing the rail with optical sensors. Our objective is the identification of faults in real time. We considered the identification using artificial neural networks (ANN). Due to the lack of fixed rules designing an ANN we tested different topologies for our application and covered adaptation of ANN to the real conditions in the fab. As a result, our ANN provides accurate real time fault detection which allows a needs-based, resource-saving and efficient Maintenance Procedure for a reliable OHT and hence 24/7 semiconductor manufacturing.
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Automatic Fault Detection in Rails of Overhead Transport Systems for Semiconductor Fabs
2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), 2019Co-Authors: Artem Zhakov, Armin Siegel, Sebastian Rank, Thorsten Schmidt, Lars Fienhold, Stephan HummelAbstract:In order to ensure safe and fast transportation of wafers in 300 mm semiconductor factories, overhead transport systems (OHT) are primarily used. These systems consist of a rail network and vehicles. To avoid congestion and delays in production, high availability of individual rail sections is essential. In order to ensure this, normally extensive preventive Maintenance is required. In this article, we focus on automatic checks for faults of the rail network by capturing an area of the rail with optical sensors. Our objective is the identification of faults in real time. We considered the identification with a basic determining approach as well as the application of artificial neural networks (ANN). Due to the lack of fixed rules designing an ANN we tested different topologies for our application. As a result, our ANN provides accurate real time fault detection which allows a needs-based, resource-saving and efficient Maintenance Procedure for 24/7 semiconductor manufacturing.
George J Chong - One of the best experts on this subject based on the ideXlab platform.
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rout and seal cracks in flexible pavement a cost effective preventive Maintenance Procedure
Transportation Research Record, 1990Co-Authors: George J ChongAbstract:The Ministry of Transportation of Ontario conducted a comprehensive study on the feasibility of a rout and seal treatment of cracks in flexible pavement as a preventive Maintenance Procedure. The objectives of this study were to ascertain the cost-effectiveness of this Procedure on the basis of the successful treatment of the distress, the resultant extension of pavement service life, and the optimum timing for application to achieve maximum cost benefit. Implemented in 1986 across the province of Ontario, the study ensures complete coverage of different climatic and environmental conditions. Monitoring of the treatment performance and pavement conditions has been completed for a period including three winters. From the data, it has been established that (a) certain rout configurations are more effective in different regions in the province, (b) the rout and seal treatment effectively delays or even stops progressive distress deterioration, and (c) the treatment is essential to achieve maximum cost benefit, with the optimum time being from the 3rd to 5th years for initial treatment, and the 8th to 9th years for follow-up treatment.
