Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnostics PDF Download
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Author: Ian Mulholland
Publisher: Transportation Research Board
ISBN: 9780309063180
Category : Computers
Languages : en
Pages : 88
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Book Description
The report documents the results of a demonstration of an AI-based program that acts as a "diagnostic assistant" for transit railcar propulsion systems. The diagnostic program uses a hybrid AI approach with both model-based reasoning and expert system rules. The AI tool was tested at the Washington Metropolitan Area Transit Authority (WMATA) on direct current chopper propulsion systems of the 3000 series railcars. The system was determined to be easy to use and effective in diagnosing propulsion system faults.
Author: Ian Mulholland
Publisher: Transportation Research Board
ISBN: 9780309063180
Category : Computers
Languages : en
Pages : 88
Get Book Here
Book Description
The report documents the results of a demonstration of an AI-based program that acts as a "diagnostic assistant" for transit railcar propulsion systems. The diagnostic program uses a hybrid AI approach with both model-based reasoning and expert system rules. The AI tool was tested at the Washington Metropolitan Area Transit Authority (WMATA) on direct current chopper propulsion systems of the 3000 series railcars. The system was determined to be easy to use and effective in diagnosing propulsion system faults.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Ian P. Mulholland
Publisher: Transportation Research Board
ISBN: 9780309053648
Category : Computers
Languages : en
Pages : 68
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Book Description
This report documents and presents the results of a study to determine the feasibility of applying Artificial Intelligence (AI) techniques to the diagnosis of transit railcars. The AI techniques investigated were expert systems, case-based reasoning, model-based reasoning, artificial neural networks, computer vision, fuzzy logic, and a procedural knowledge-based system. Site surveys were conducted at transit railcar maintenance facilities and at railcar subsystem suppliers. The site surveys gathered information about current and future diagnostic and maintenance practices, possible barriers to implementing advanced AI technology, and maintenance cost data. An economic analysis was performed to provide an estimate of cost savings expected by reducing the diagnostic effort.
Author:
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 314
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Book Description
Author: United States. Federal Transit Administration
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 228
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Book Description
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of Transportation and Related Agencies Appropriations
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1864
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Book Description
Author: Transit Cooperative Research Program
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 128
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Book Description
Author: United States. Urban Mass Transportation Administration. Office of Technical Assistance and Safety
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 128
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Book Description
Author: United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Technology, Environment, and Aviation
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 286
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Book Description
Author: G. Grigoras
Publisher: IOS Press
ISBN: 1643684450
Category : Computers
Languages : en
Pages : 1224
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Book Description
Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.
