Hierarchical Modular Fault Diagnostics for Complex Systems

复杂系统的分层模块化故障诊断

• 批准号: 0220180
• 负责人: Giorgio Rizzoni
• 金额: $ 28.8万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 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: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0220180&HistoricalAwards=false
• 关键词: Hierarchical; Modular; Fault; Diagnostics; Complex

Laci Jalics, Delphi Research LabsGiorgio Rizzoni, The Ohio State UniversityAndrea Serrani, The Ohio State UniversityAhmed Soliman, The Ohio State UniversityHierarchical, Modular Fault Diagnosis in Complex SystemsThe objectives of this GOALI project program are: 1) to develop a methodology that permits the design of modular, hierarchical, model-based diagnostic algorithms that can result in re-usable software modules, and that can be methodically organized into a complete, self-contained monitoring system; and 2) to demonstrate the methodology in collaboration with an industry partner.Fault tolerance is a critical element in complex automotive systems because of the introduction of "by-wire" systems in vehicles. "by-wire" systems generate electrical commands through driver input and transfer them to the computer-controlled electro-mechanical actuators. With respect to traditional systems, "by-wire" systems require complex control and diagnostic strategies to guarantee proper vehicle behavior and to prevent system malfunctions. A significant roadblock for safety-critical by-wire systems is the realization of a robust fault-diagnostic strategy that can be accomplished quickly and with limited or no additional hardware. This project addresses these issues in three stages: 1) through the use of physically based system models to understand interactions and dependencies among subsystems in a complex system; 2) with the design of residual generator units that can locally diagnose faults in components, sensors and actuators; and 3) using a hierarchical structure that links components, systems, and subsystems through the use of fault propagation digraphs. The fault propagation digraph contains a hierarchical representation of available knowledge about the characteristics of fault propagation within the system. Each level in the hierarchy contains one or more structures that together represent a view of the system under a particular granularity. The granularity of view increases with levels. Thus as one traverses down the levels of the model, the resolution of view increases. If a high resolution of diagnosis is not required, failure analysis may be confined to the upper levels of the hierarchy, thereby preventing a slowdown of the diagnosis due to excessive detail.

Laci Jalics，德尔菲研究实验室Giorgio Rizzoni，俄亥俄州州立大学Andrea Serrani，俄亥俄州州立大学Ahmed Soliman，俄亥俄州州立大学复杂系统中的分层模块化故障诊断本GOALI项目计划的目标是：1）开发一种方法，允许设计模块化、层次化、基于模型的诊断算法，从而产生可重用的软件模块，并且可以有条不紊地组织成一个完整的、独立的监控系统;以及2）与行业合作伙伴合作演示该方法。由于在车辆中引入了“线控”系统，容错成为复杂汽车系统中的关键要素。“线控”系统通过驾驶员输入产生电命令，并将它们传送到计算机控制的机电致动器。相对于传统系统，“线控”系统需要复杂的控制和诊断策略来保证适当的车辆行为并防止系统故障。 安全关键的线控系统的一个重要障碍是实现一个强大的故障诊断策略，可以快速完成，并与有限的或没有额外的硬件。 该项目分三个阶段解决这些问题：1）通过使用基于物理的系统模型来理解复杂系统中子系统之间的相互作用和依赖关系; 2）设计可以本地诊断组件，传感器和执行器故障的剩余发电机组; 3）使用分层结构，通过使用故障传播有向图将组件，系统和子系统联系起来。故障传播有向图包含关于系统内故障传播特性的可用知识的分层表示。层次结构中的每一级都包含一个或多个结构，这些结构共同表示特定粒度下的系统视图。视图的粒度随着级别的增加而增加。因此，当一个人向下遍历模型的层次时，视图的分辨率会增加。如果不需要高分辨率的诊断，则故障分析可以被限制在层次结构的上层，从而防止由于过多的细节而导致诊断的减慢。