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Model-based Fault Diagnosis of the Air and Turbocharger System of Diesel Engines

机译:柴油机空气和涡轮增压器系统的基于模型的故障诊断

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Fault diagnosis for diesel engines is gaining more and more in importance. Driven by the increasing complexity of the air and exhaust path an improvement of OBD systems requires advanced model based methods of fault diagnosis. The target of this work was the development of a new advanced fault diagnosis system for the air and exhaust path with focus on the charging system and a validation based on real measurement data from an engine test bench. The considered faults are leakages in the intake and exhaust manifolds, restriction in the airfilter, removed blow-by tube, damaged compressor wheel, blocked VTG vanes, restriction behind the intercooler, no air-flow through the intercooler and blocked high-pressure EGR valve. A model based fault diagnosis system for diesel engines applying a new model based approach including a thermodynamic turbocharger model as well as models of the pressures in the storage volumes downstream and upstream of the turbocharger has been developed, parameterized and validated. The developed fault diagnosis system consists of residual calculations with parity equations, transformation from the residuals to symptoms applying filtering, enabling conditions and thresholds and finally operating region dependent evaluation of the developed symptoms in fault-symptom tables. The analysis of symptoms which depend on the operating point has been accomplished considering fault-free and faulty measurement data. A partition of the engine operating area into operation regions has been developed taking closed and open control loops like air mass flow control or boost pressure control of the air and exhaust path into account. The symptom deviations are validated at different operation regions. The detection and diagnosis results of the implemented faults have been verified using measurements from the engine test bench. Therefore, faulty and fault-free test measurements in an engine speed range from 1000 to 3500 rpm and a brake mean effective pressure range from motoring at -5 up to 16 bar have been used for the validation of the diagnosis system. All considered faults can be detected and diagnosed in different considered operating regions using a set of the measured inputs. The developed fault diagnosis system shows good results of fault detection and diagnosis and also shows potential for applications in ECUs of turbocharged diesel engines.
机译:柴油机故障诊断的重要性越来越高。在空气和排气路径日益复杂的驱动下,OBD系统的改进需要基于高级模型的故障诊断方法。这项工作的目标是开发一种针对空气和排气路径的新型高级故障诊断系统,重点放在充气系统上,并基于来自发动机测试台的真实测量数据进行验证。认为的故障包括进气和排气歧管泄漏,空气滤清器堵塞,拆下的漏气管,压缩机叶轮损坏,VTG叶片堵塞,中间冷却器后面的限制,没有空气通过中间冷却器和高压EGR阀被阻塞。已开发,参数化和验证了基于模型的柴油发动机故障诊断系统,该系统采用基于模型的新方法,包括热力学涡轮增压器模型以及涡轮增压器下游和上游存储容积中的压力模型。所开发的故障诊断系统包括具有奇偶校验方程的残差计算,使用过滤从残差到症状的转换,启用条件和阈值以及最终取决于故障症状表中已出现症状的运行区域相关评估。考虑到无故障和有故障的测量数据,已经完成了取决于操作点的症状分析。考虑到诸如空气质量流量控制或空气和排气路径的增压控制之类的封闭和开放控制回路,已经将发动机工作区域划分为多个工作区域。症状偏差在不同的操作区域得到验证。已实施故障的检测和诊断结果已使用发动机测试台的测量结果进行了验证。因此,在诊断系统的验证中,已使用发动机转速从1000到3500 rpm的故障和无故障测试测量值以及从-5到最高16 bar的制动平均有效压力范围进行了测试。使用一组测量的输入,可以在不同的考虑的操作区域中检测和诊断所有考虑的故障。所开发的故障诊断系统显示出良好的故障检测和诊断结果,还显示出在涡轮增压柴油机ECU中的应用潜力。

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