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首页> 外文期刊>SAE International Journal of Passenger Cars - Electronic and Electrical Systems >Model-Based Fault Diagnosis of Selective Catalytic Reduction Systems for Diesel Engines
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Model-Based Fault Diagnosis of Selective Catalytic Reduction Systems for Diesel Engines

机译：柴油机选择性催化还原系统的基于模型的故障诊断

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In this paper, a model-based diagnostic system was developed to detect and isolate the dosing fault and the outlet NOx sensor fault for the SCR system. The dosing fault is treated as an actuator additive fault, while the outlet NOx sensor drift and/or offset fault is treated as a sensor additive fault. First, a 0-D SCR model was developed to facilitate the model-based approach. A parity equation residual generator was designed based on the linearized SCR model and the fault transfer function matrix. The diagnostic algorithm is then implemented in the Matlab/Simulink environment for validation. A high fidelity nonlinear 1-D SCR model is used to generate system outputs and to simulate the plant. The simulation results show that the model-based fault diagnosis system succeeds in detecting and isolating the outlet NOx sensor and dosing faults with good sensitivity and robustness
机译：在本文中，开发了基于模型的诊断系统，以检测和隔离SCR系统的配量故障和出口NOx传感器故障。配液故障被视为执行器附加故障，而出口NOx传感器漂移和/或偏移故障被视为传感器附加故障。首先，开发了0-D SCR模型以促进基于模型的方法。基于线性化SCR模型和故障传递函数矩阵，设计了一个奇偶方程残差发生器。然后，在Matlab / Simulink环境中实施诊断算法以进行验证。高保真非线性一维SCR模型用于生成系统输出并模拟工厂。仿真结果表明，基于模型的故障诊断系统能够很好地检测和隔离出口NOx传感器，并具有良好的灵敏度和鲁棒性。

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