CPS: Small: Collaborative Research: Fault Diagnosis and Prognosis in a Network of Embedded Systems in Automotive Vehicles

本研究的目标是设计一个嵌入式系统的异构网络，使故障能够快速检测和隔离，并开发在线和离线故障诊断和预测方法。我们的方法是开发故障模式和伴随的监测机制之间的功能依赖模型，这构成了故障模式、影响和临界分析、可测试性设计、诊断推断和（硬件）组件的剩余使用寿命估计的基础。在过去的几年中，汽车和其他应用领域的电子爆炸显著增加了嵌入式系统的复杂性、异构性和互连性。为了解决这种网络系统中的跨子系统故障现象，必须开发一种通用方法：(i)识别与软件、硬件和硬件软件接口相关的潜在故障模式；（ii）在失效模式和测试之间产生功能依赖；（iii）提供在线/离线诊断系统；（iv）根据诊断计算组件的剩余使用寿命；（iv）在现场部署之前，通过故障注入验证诊断和预测推理方法。开发功能依赖模型和从这些模型中进行诊断推断，以帮助嵌入式系统的在线和远程诊断和预测，是这项工作的一个潜在的新方面。该项目旨在通过提高车辆的可靠性、性能和安全性以及提高客户满意度来提高美国汽车工业的竞争力。其他代表性应用包括航空航天系统、交通电气化、医疗设备、通信和电力网络等。

The objectives of this research are to design a heterogeneous network of embedded systems so that faults can be quickly detected and isolated and to develop on-line and off-line fault diagnosis and prognosis methods. Our approach is to develop functional dependency models between the failure modes and the concomitant monitoring mechanisms, which form the basis for failure modes, effects and criticality analysis, design for testability, diagnostic inference, and the remaining useful life estimation of (hardware) components. Over the last few years, the electronic explosion in automotive vehicles and other application domains has significantly increased the complexity, heterogeneity, and interconnectedness of embedded systems. To address the cross-subsystem malfunction phenomena in such networked systems, it is essential to develop a common methodology that: (i) identifies the potential failure modes associated with software, hardware, and hardware-software interfaces; (ii) generates functional dependencies between the failure modes and tests; (iii) provides an on-line/off-line diagnosis system; (iv) computes the remaining useful life estimates of components based on the diagnosis; and (iv) validates the diagnostic and prognostic inference methods via fault injection prior to deployment in the field. The development of functional dependency models and diagnostic inference from these models to aid in online and remote diagnosis and prognosis of embedded systems is a potentially novel aspect of this effort.This project seeks to improve the competitiveness of the U.S. automotive industry by enhancing vehicle reliability, performance and safety, and by improving customer satisfaction. Other representative applications include aerospace systems, electrification of transportation, medical equipment, and communication and power networks, to name a few.