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SENSOR FAULT ISOLATION USING QUALITATIVE QUANTIZED MODELING WITH APPLICATION TO A 3-DOF NONLINEAR VEHICLE

机译:定性量化建模的传感器故障隔离技术在三自由度非线性车辆中的应用

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摘要

Fault detection and isolation has become one of the most important aspects in vehicle control system design. In this paper, we present a technique for single sensor fault detection and isolation in automotive on-board applications. It combines model-based diagnostics and a qualitative modeling approach. The proposed method is appealing as it shifts the computational effort from on-line to off-line, making the algorithm suitable for low-cost real-time applications. The methodology can be cast in the framework of discrete-event fault diagnosis. A depth one transition relation algorithm for qualitative identification which guarantees completeness is developed and applied to a 3-degree-of-freedom (DOF) nonlinear vehicle model. The paper concludes with preliminary simulation results showing the effectiveness of the proposed scheme.
机译:故障检测和隔离已成为车辆控制系统设计中最重要的方面之一。在本文中,我们提出了一种用于汽车车载应用中的单传感器故障检测和隔离的技术。它结合了基于模型的诊断和定性建模方法。所提出的方法很吸引人,因为它将计算工作从在线转移到离线,使得该算法适合于低成本实时应用。该方法可以在离散事件故障诊断的框架内进行。提出了一种用于深度定性的深度完整性过渡关系算法,该算法可确保完整性,并将其应用于三自由度(DOF)非线性车辆模型。本文以初步仿真结果作为结束,表明了该方案的有效性。

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