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: Texas A&M Engineering Experiment Station
• 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
• 起止时间: 2002-01-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0127941&HistoricalAwards=false
• 关键词: NSF; USDOT; ICSST; Development; Information

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.

Darbha Swaroop Texas Engineering Experiment Station NSF/USDOT：基于信息技术的商用车空气制动器先进监测和检查系统的开发本项目的主要研究目标是设计商用车空气制动器系统的新型故障检测算法，以期将其应用于自动维护和执法检查的开发以及实时车载监控系统。该建议的动机是出于预防性和主动车辆安全的考虑，因为目前没有这样的诊断和监测系统存在于卡车中的空气制动器。PI旨在开发用于诊断目的的空气制动系统的数学模型，并采用故障检测和隔离（FDI）的分析冗余方法。使用空气制动模型，将根据踏板位置和车轮速度的测量值预测制动压力;制动压力的测量值和预测值之间的差异将用于评估制动性能的下降。空气制动系统模型将通过实验进行验证，诊断算法将在PI开发的试验台上实施，试验台由Beneficiary CVS Inc.提供支持，在埃利里亚，俄亥俄州和得克萨斯州交通研究所的SWUTC计划。本项目开发的工具将适用于各种工业机械。研究生和本科生将从事FDI算法的开发和实施。最后，测试台，模型和诊断算法将被集成到相关的本科和研究生课程。