A Methodology for Fault Diagnosis of Diesel NOx Aftertreatment Systems
Fault Detection, Supervision and Safety of Technical Processes, Volume # | Part#
Pezzini, Andrea; Canova, Marcello; Onori, Simona; Rizzoni, Giorgio; Soliman, Ahmed
Digital Object Identifier (DOI)
Diesel engines are today considered leading candidates for the new generations of passenger vehicles due to their fuel efficiency and drivability. One of the key elements for the future acceptability is the compliance with emission standards (particularly on nitrogen oxides), which will require precise control of the aftertreatment system. Furthermore, in light of OBD-II regulations, considerable research must be devoted to the design of fault diagnosis algorithms. The definition of fault diagnosis strategies is a complex process that involves thorough studies of the system behavior in healthy and faulty conditions. Such studies can be done in multiple ways, including experimentation and mathematical modeling. In both cases, a thorough knowledge of the system components, sensors and actuators is required. The proposed paper presents an approach to model-based fault diagnosis of Diesel NOx aftertreatment systems. The proposed methodology is based on a functional and structural analysis of the system, at the level of individual components and assemblies. This facilitates the mapping and characterization of system faults through FTA and FMEA methods, allowing for the design of control-oriented models to be used for fault detection and isolation. In this paper, the outlined approach is applied to a Lean NOx Trap system.
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