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NSF/USDOT - ICSST: Development of an Information Technology Based Advanced Monitoring and Inspection System for Air Brakes in Commercial Vehicles Systems for Air Brakes

NSF/USDOT - ICSST: Development of an Information Technology Based Advanced Monitoring and Inspection System for Air Brakes in Commercial Vehicles Systems for Air Brakes
NSF/USDOT - ICSST:开发基于信息技术的商用车空气制动器高级监控和检查系统 空气制动器系统
批准号:
0127941
负责人:
Swaroop Darbha
金额:
$8.49万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-01-01 至 2002-12-31

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中文摘要
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英文摘要
Darbha Swaroop Texas Engineering Experiment StationNSF/USDOT: Development of an information technology based advanced monitoring and inspection system for air brakes in commercial vehicles systems for air brakesThe principal research goal of this project is to design novel fault detection algorithms for air brake systems in commercial vehicles with a view towards applying them in the development of automatic maintenance and enforcement inspections and in the development of real-time, on-board monitoring systems. This proposal is motivated by considerations of preventive and active vehicle safety, since no such diagnostic and monitoring system currently exists for air brakes in trucks. The PIs intend to develop a mathematical model of an air brake system for diagnostic purposes and adopt the analytical redundancy approach for Fault Detection and Isolation (FDI). Using the air brake model, brake pressure will be predicted from the measurements of the pedal position and wheel speed; the difference between the measured and predicted values of brake pressure will be used to assess the degradation in braking performance. The air brake system model will be experimentally validated and the diagnostic algorithms will be implemented on the test bench developed by the PI with the support of Bendix CVS Inc., at Elyria, OH and the SWUTC program of the Texas Transportation Institute. The tools developed in this project will be applicable to a wide variety of industrial machinery.Graduate and undergraduate students will be engaged in the development and implementation of FDI algorithms. Finally, the test bench, models and the diagnostic algorithms will be integrated into relevant undergraduate and graduate courses.
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Diagnostic algorithms for air brakes in trucks: Theory and experiments
NSF/USDOT: A Non-Continuum Model of the Flow of Traffic Via Aggregation and its Application to Trip-Time Prediction
Issues in Acquisition, Processing and Use of Information to Enhance the Performance of Transportation Systems
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