Last edited by Vilabar
Thursday, July 16, 2020 | History

3 edition of Demonstration of artificial intelligence technology for transit railcar diagnostics found in the catalog.

Demonstration of artificial intelligence technology for transit railcar diagnostics

by Ian P. Mulholland

  • 202 Want to read
  • 10 Currently reading

Published by National Academy Press in Washington, D.C .
Written in English

    Subjects:
  • Artificial intelligence.,
  • Electric railroads -- Cars -- Maintenance and repair -- Technological innovations.,
  • Electric railroads -- Cars -- Maintenance and repair.,
  • Railroads, Local and light -- Inspection.

  • Edition Notes

    Other titlesTransit Cooperative Research Program
    StatementIan Mulholland, Zoran Kahric.
    SeriesTCRP report -- 44, Report (Transit Cooperative Research Program) -- 44.
    ContributionsKahric, Zoran., National Research Council (U.S.). Transportation Research Board., Transit Cooperative Research Program., Transit Development Corporation., United States. Federal Transit Administration.
    Classifications
    LC ClassificationsTF920 .M85 1999
    The Physical Object
    Pagination1 v. (various pagings) :
    ID Numbers
    Open LibraryOL20735645M
    ISBN 100309063183

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Demonstration of artificial intelligence technology for transit railcar diagnostics by Ian P. Mulholland Download PDF EPUB FB2

Demonstration of artificial intelligence technology for transit railcar diagnostics This report will be of interest to railcar maintenance professionals concerned with improving railcar maintenance fault-diagnostic capabilities through the use of artificial intelligence (AI) : I.

Mulholland, Z. Kahric. TRB's Transit Cooperative Research Program (TCRP) Report Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnostics 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. The use of an artificial intelligence approach in a diagnostic support role could have a substantial impact upon transit railcar maintenance cost.

This paper describes Transit Cooperative Research Program project, "Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnosis". Artificial Intelligence for Transit Railcar Diagnostics IAN P. MULHOLLAND ANSTEC, Inc.

Fairfax, VA And RAYMOND A. OREN LTK Engineering Services Bluebell, PA Subject Area Public Transit Research Sponsored by the Federal Transit Administration in Cooperation with the Transit Development Corporation TRANSPORTATION RESEARCH BOARD NATIONAL RESEARCH.

In fact, the experiment could be a preview of the rail industry’s future. The demonstration at the Transportation Technology Center — a research and testing facility owned by the Association Author: Justin Franz.

R (Project EA) Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnostics R (Project A) Passenger Information Services: A Guidebook for Transit Systems R (Project B) The Role of Transit Amenities and Vehicle Characteristics in Building Transit Ridership.

Report Produced by Artificial Intelligence and Emerging Technology Initiative Footnotes See, for example, Fabrice Pothier, “An Area-Access. Glances at Artificial Intelligence Methods in Aircraft Engine Diagnostics A Demonstration of Artificial Neural-Networks-Based Data Mining for Gas-Turbine-Driven Compressor Stations.

Study on Incident Detection Technology for Transit Line Operation Based on GPS. On-board devices/systems, with crashworthy memory, that record data to support accident/incident analysis for rail transit vehicles, are covered.

The requirements of this standard are limited to event recorder functions and interfaces. Data transmission methods are excluded. The information in this standard is independent of the hardware and/or software employed for other vehicle systems.

Chennai Metro Rail in Southern India Selects Trimble Rail Solutions for Remote Diagnostics, Condition Monitoring and Analytics. SUNNYVALE, Calif., J —Trimble (NASDAQ: TRMB) announced today that Chennai Metro Rail Ltd.

(CMRL), operated by the Tamil Nadu State Government and the Government of India, will implement Trimble® Nexala rail asset management solutions.

Smart Tracks is an initiative started by China, named the ART- Autonomous Rail Rapid transit. This doesn’t require any track as the train follows the virtual track made by painted dashed lines. This astounding AI technology trend is predicted to spread in the coming years, globally.

Digital Number plates for Vehicles. Autonomous vehicles (AVs) represent a new, growing segment of transportation research.

While there have been prior studies and deployments of AVs worldwide, full autonomy in bus transit has gained interest among researchers and practitioners within the last decade, which presents an opportunity to synthesize early trends.

Therefore, the objective of this paper is to provide a review of the. AFRL’s Navigation Technology Satellite – 3 Spacecraft Passes Critical Design Review lst Lt. Jacob Lutz, Air Force Research Laboratory EXPLORE CAREERS. Objective - To improve the operating efficiency of commercial heating, ventilating, and air-conditioning (HVAC) systems by 10% to 30% through development and demonstration of the enabling measurement science for detecting faults and control errors in commercial HVAC equipment and systems, and transferring the measurement science to the private sector.

Drishti creates streams of data from manual activities on assembly lines, enabling true continuous improvement of human performance—at scale.

With AI at the core of our factory video analytics, we put humans at the center of Industry   According to The Rail Sector’s Changing Maintenance Game, a report published by McKinsey & Co.

in DecemberCBM can reduce rolling stock manual diagnostics by at least 60%, and could lead to an overall reduction of at least % in maintenance costs—equivalent to an annual saving of up to $ billion for train operators, $ Purchase Fault Detection, Supervision and Safety of Technical Processes - 1st Edition.

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This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indicators (e.g., the number of stations and passengers), and suggested indicators (e.g., weekly frequencies, link occupancy rates, and CO2 footprint per journey.

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ISBNFault identification and analysis studies from papers published from to reveal a wide diversity of promising techniques, both emerging and in-use. These range from traditional Physics-based Models to Data-Driven Artificial Intelligence (AI) and Knowledge-Based approaches.