SAE International Diagnosis of within Cylinder Faults Using Instantaneous Mode Based Engine Model 2016-01-9151

Description
Model based approaches for engine fault diagnosis mostly address the faults external to cylinder since they predominantly use simplified averaged models which do not capture within cycle dynamics. Hence, by using an instantaneous engine model which distinctly characterizes the cylinder's modes, the events occurring within the cycle can be captured. The events happening across various modes and the engine subsystems can be due to normal operation or faults whose symptoms can be seen as features. In this work, which involves detection and classification of faults occurring in cylinders, is carried out in simulation environment, where, a Kalman filter for state estimation incorporating a nominal instantaneous mode based engine model is considered. Using this estimator as base, faults occurring repetitively (every cycle) are addressed whose features are seen across relevant modes of a cycle. The combination of features of variables such as inputs, states and residuals from a faulty case data are inspected for various engine subsystems across modes within the cylinder's cycle to detect the faulty cylinder and classify its associated fault.
Description
Model based approaches for engine fault diagnosis mostly address the faults external to cylinder since they predominantly use simplified averaged models which do not capture within cycle dynamics. Hence, by using an instantaneous engine model which distinctly characterizes the cylinder's modes, the events occurring within the cycle can be captured. The events happening across various modes and the engine subsystems can be due to normal operation or faults whose symptoms can be seen as features. In this work, which involves detection and classification of faults occurring in cylinders, is carried out in simulation environment, where, a Kalman filter for state estimation incorporating a nominal instantaneous mode based engine model is considered. Using this estimator as base, faults occurring repetitively (every cycle) are addressed whose features are seen across relevant modes of a cycle. The combination of features of variables such as inputs, states and residuals from a faulty case data are inspected for various engine subsystems across modes within the cylinder's cycle to detect the faulty cylinder and classify its associated fault.

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Diagnosis of within Cylinder Faults Using Instantaneous Mode Based Engine Model - 2016-01-9151 - SAE International
Warrendale, PA, United States
Diagnosis of within Cylinder Faults Using Instantaneous Mode Based Engine Model
2016-01-9151
Diagnosis of within Cylinder Faults Using Instantaneous Mode Based Engine Model 2016-01-9151
Model based approaches for engine fault diagnosis mostly address the faults external to cylinder since they predominantly use simplified averaged models which do not capture within cycle dynamics. Hence, by using an instantaneous engine model which distinctly characterizes the cylinder's modes, the events occurring within the cycle can be captured. The events happening across various modes and the engine subsystems can be due to normal operation or faults whose symptoms can be seen as features. In this work, which involves detection and classification of faults occurring in cylinders, is carried out in simulation environment, where, a Kalman filter for state estimation incorporating a nominal instantaneous mode based engine model is considered. Using this estimator as base, faults occurring repetitively (every cycle) are addressed whose features are seen across relevant modes of a cycle. The combination of features of variables such as inputs, states and residuals from a faulty case data are inspected for various engine subsystems across modes within the cylinder's cycle to detect the faulty cylinder and classify its associated fault.

Model based approaches for engine fault diagnosis mostly address the faults external to cylinder since they predominantly use simplified averaged models which do not capture within cycle dynamics. Hence, by using an instantaneous engine model which distinctly characterizes the cylinder's modes, the events occurring within the cycle can be captured. The events happening across various modes and the engine subsystems can be due to normal operation or faults whose symptoms can be seen as features. In this work, which involves detection and classification of faults occurring in cylinders, is carried out in simulation environment, where, a Kalman filter for state estimation incorporating a nominal instantaneous mode based engine model is considered. Using this estimator as base, faults occurring repetitively (every cycle) are addressed whose features are seen across relevant modes of a cycle. The combination of features of variables such as inputs, states and residuals from a faulty case data are inspected for various engine subsystems across modes within the cylinder's cycle to detect the faulty cylinder and classify its associated fault.

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  SAE International
Product Category Standards and Technical Documents
Product Number 2016-01-9151
Product Name Diagnosis of within Cylinder Faults Using Instantaneous Mode Based Engine Model
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