The Experts below are selected from a list of 16152 Experts worldwide ranked by ideXlab platform
Taha M.s. Elhag - One of the best experts on this subject based on the ideXlab platform.
-
Evidential reasoning approach for bridge Condition Assessment
EXPERT SYST APPL, 2008Co-Authors: Taha M.s. ElhagAbstract:Bridge Condition Assessment is usually conducted by bridge inspectors on the basis of visual inspections. This inevitably involves human being's subjective judgments and uncertainties. In order to model uncertainties associated with subjective Assessments, this paper presents an evidential reasoning (ER) approach for bridge Condition Assessment. The ER approach has the following advantages over other approaches for bridge Condition rating: (1) the relative importance of different bridge components and elements is incorporated into the model; (2) bridge Condition ratings are treated as Assessment grades rather than precise numerical values, which is more logical; (3) bridge element can be assessed to two adjacent Assessment grades at the same time if it cannot be precisely assessed to only one Assessment grade, each with a belief degree (probability, confidence) to show to what extent the element is assessed to the two different grades, respectively; (4) the overall Assessment of a bridge is a distributed Assessment, which provides a panoramic view about the bridge Condition. A case study is provided to illustrate the implementation process of the ER approach for bridge Condition Assessment. (c) 2006 Elsevier Ltd. All rights reserved.
-
evidential reasoning approach for bridge Condition Assessment
Expert Systems With Applications, 2008Co-Authors: Yingming Wang, Taha M.s. ElhagAbstract:Bridge Condition Assessment is usually conducted by bridge inspectors on the basis of visual inspections. This inevitably involves human being's subjective judgments and uncertainties. In order to model uncertainties associated with subjective Assessments, this paper presents an evidential reasoning (ER) approach for bridge Condition Assessment. The ER approach has the following advantages over other approaches for bridge Condition rating: (1) the relative importance of different bridge components and elements is incorporated into the model; (2) bridge Condition ratings are treated as Assessment grades rather than precise numerical values, which is more logical; (3) bridge element can be assessed to two adjacent Assessment grades at the same time if it cannot be precisely assessed to only one Assessment grade, each with a belief degree (probability, confidence) to show to what extent the element is assessed to the two different grades, respectively; (4) the overall Assessment of a bridge is a distributed Assessment, which provides a panoramic view about the bridge Condition. A case study is provided to illustrate the implementation process of the ER approach for bridge Condition Assessment.
Yingming Wang - One of the best experts on this subject based on the ideXlab platform.
-
evidential reasoning approach for bridge Condition Assessment
Expert Systems With Applications, 2008Co-Authors: Yingming Wang, Taha M.s. ElhagAbstract:Bridge Condition Assessment is usually conducted by bridge inspectors on the basis of visual inspections. This inevitably involves human being's subjective judgments and uncertainties. In order to model uncertainties associated with subjective Assessments, this paper presents an evidential reasoning (ER) approach for bridge Condition Assessment. The ER approach has the following advantages over other approaches for bridge Condition rating: (1) the relative importance of different bridge components and elements is incorporated into the model; (2) bridge Condition ratings are treated as Assessment grades rather than precise numerical values, which is more logical; (3) bridge element can be assessed to two adjacent Assessment grades at the same time if it cannot be precisely assessed to only one Assessment grade, each with a belief degree (probability, confidence) to show to what extent the element is assessed to the two different grades, respectively; (4) the overall Assessment of a bridge is a distributed Assessment, which provides a panoramic view about the bridge Condition. A case study is provided to illustrate the implementation process of the ER approach for bridge Condition Assessment.
Bin Zhao - One of the best experts on this subject based on the ideXlab platform.
-
an improved fuzzy synthetic Condition Assessment of a wind turbine generator system
International Journal of Electrical Power & Energy Systems, 2013Co-Authors: Hui Li, Yaogang Hu, Chao Yang, Zhe Chen, Haiting Ji, Bin ZhaoAbstract:Abstract This paper presents an improved fuzzy synthetic model that is based on a real-time Condition Assessment method of a grid-connected wind turbine generator system (WTGS) to improve the operational reliability and optimize the maintenance strategy. First, a Condition Assessment framework is proposed by analyzing the monitored physical quantities of an actual WTGS with an electrically excited synchronous generator (EESG) and a full-scale converter. To examine the variable speed operational performances, the dynamic limits and the deterioration degree functions of the characteristic variables are determined by analyzing the monitoring data of the WTGS. An improved fuzzy synthetic Condition Assessment method is then proposed that utilizes the concepts of deterioration degree, dynamic limited values and variable weight calculations of the Assessment indices. Finally, by using on-line monitoring data of an actual 850 kW WTGS, real-time Condition Assessments are performed that utilize the proposed fuzzy synthetic method; the model’s effectiveness is also compared to a traditional fuzzy Assessment method in which constant limited values and constant weights are adopted. The results show that the Condition Assessment that utilizes the improved method can predict the change of operating Conditions and has a better coherence with real operating Conditions than that of a traditional fuzzy Assessment method.
Hsieh-ping Chen - One of the best experts on this subject based on the ideXlab platform.
-
Advance in Neural Networks for Power Transformer Condition Assessment
Lecture Notes in Electrical Engineering, 2020Co-Authors: Kun-yuan Huang, Yann-chang Huang, Hsing-feng Chen, Hsieh-ping ChenAbstract:Artificial neural networks (ANN) have emerged as rapidly evolving and highly practical approaches for Condition Assessment of power transformers. This study reviewed different ANN approaches for assessing power transformer Conditions by discussing historical developments and presenting state-of-the-art ANN methods. Relevant publications from international journals covering a broad range of ANN methods were reviewed. This paper concludes that no single ANN approach enables detection of all faults of power transformers; therefore, overall and reliable Assessment of power transformer Conditions is necessary. Moreover, the most effective Condition Assessment technique is to combine artificial intelligent approaches to form hybrid intelligence-based systems and to aggregate them into an overall evaluation. This paper is helpful in the academics, research and engineering community, which is working on Condition Assessment of transformer fault diagnosis using artificial intelligence.
Hui Li - One of the best experts on this subject based on the ideXlab platform.
-
an improved fuzzy synthetic Condition Assessment of a wind turbine generator system
International Journal of Electrical Power & Energy Systems, 2013Co-Authors: Hui Li, Yaogang Hu, Chao Yang, Zhe Chen, Haiting Ji, Bin ZhaoAbstract:Abstract This paper presents an improved fuzzy synthetic model that is based on a real-time Condition Assessment method of a grid-connected wind turbine generator system (WTGS) to improve the operational reliability and optimize the maintenance strategy. First, a Condition Assessment framework is proposed by analyzing the monitored physical quantities of an actual WTGS with an electrically excited synchronous generator (EESG) and a full-scale converter. To examine the variable speed operational performances, the dynamic limits and the deterioration degree functions of the characteristic variables are determined by analyzing the monitoring data of the WTGS. An improved fuzzy synthetic Condition Assessment method is then proposed that utilizes the concepts of deterioration degree, dynamic limited values and variable weight calculations of the Assessment indices. Finally, by using on-line monitoring data of an actual 850 kW WTGS, real-time Condition Assessments are performed that utilize the proposed fuzzy synthetic method; the model’s effectiveness is also compared to a traditional fuzzy Assessment method in which constant limited values and constant weights are adopted. The results show that the Condition Assessment that utilizes the improved method can predict the change of operating Conditions and has a better coherence with real operating Conditions than that of a traditional fuzzy Assessment method.