Abstract
The paper presents a real-time approach for parameter identification used for diagnosing different types of faults in the exhaust gas recirculation (EGR) system of diesel engines. An important benefit of the proposed diagnostics method is its ability to detect and estimate a leak or a restriction in the EGR system. This is achieved by making use of a recursive-least-squares (RLS) method, as well as, a recursive formulation of a robust version of the RLS method, which we refer to as recursive total-least-squares (RTLS) method. The proposed approach of fault detection is successfully applied to diagnose low flow or high flow faults in an engine and is validated using experimental data.
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