Development of SI-Engine based Extended MVEMs for use in Estimators for Engine Health Management

Vasu, Jonathan; Deb, Alok Kanti; Mukhopadhyay, Siddhartha; Pattada, Kallappa

doi:10.4271/2012-01-1990

Cited by 4 publications

(3 citation statements)

References 47 publications

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“…However, distinguishing a slowly changing parameter from a slowly worsening fault condition (which can also be modeled as a slowly changing parameter) is a separate and nontrivial task and has not been attempted in this paper. This problem has been recognized by Vasu et al [35].…”

Section: Discussionmentioning

confidence: 91%

“…The authors have described one way of approaching this problem by automated reconfigurable bias tables. This has been described at length in [18] and [35]. However, distinguishing a slowly changing parameter from a slowly worsening fault condition (which can also be modeled as a slowly changing parameter) is a separate and nontrivial task and has not been attempted in this paper.…”

Section: Discussionmentioning

confidence: 97%

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MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster–Shafer Theory and Multiple Hypotheses Testing

Vasu

Deb

Mukhopadhyay

2015

IEEE Trans. Syst. Man Cybern, Syst.

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Internal combustion engines exhibit fast pulsating short-time dynamics due to the reciprocating cylinder motion, around mean operating points that change comparatively slow due to inputs such as throttle and load. Comparatively, simple mean value engine models (MVEM) describe the slow changes of the averaged states for automotive control and fault diagnosis. In this paper, a bank of state estimators based on MVEMs is used for fault residual generation. Three faults: 1) throttle mass airflow sensor fault; 2) exhaust gas recirculation valve sensor fault; and 3) exhaust leak fault are considered here. These faults are significant as they affect emission levels. Optimized thresholds for residual classification are derived for minimizing false alarm rates and missed detection rates. The diagnosis logic, based on the principles of structured residuals proposed in literature, is extended here for multiple hypotheses testing. Furthermore, the Dempster-Shafer theory is used to associate a confidence measure with the decision conclusions and this is shown to improve isolation. Performance is demonstrated with automotive engine data obtained from a four-cylinder instantaneous spark-ignition engine (gasoline) system model, developed in the simulation software AMESim.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 97%

MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster–Shafer Theory and Multiple Hypotheses Testing

Vasu

Deb

Mukhopadhyay

2015

IEEE Trans. Syst. Man Cybern, Syst.

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“…Incylinder approaches are expensive and hard to implement the hardware and software for analysis of data in real-time knock control. In the other hand, noise variety during the engine operation increase the complexity of cylinder block vibration analysis [4]. EGT analysis is a method that directly uses the combustion output characteristics for Knock detection.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Ignition Timing Correction in Spark Ignition Engines Based on Cylinder Tendency to Surface Ignition

Ghanaati

Said

Darus

et al. 2016

AMM

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The performance of Spark Ignition (SI) engines in terms of thermal efficiency can be restricted by knock. Although it is common for all SI engines to exhibit knock from compressed end-gas, knocks from surface ignition remains a more serious problem due to its effect on combustion stability and its obscurity to detect. This paper focuses on predicting the occurrence of knocks from surface ignition by monitoring exhaust gas temperature (EGT). EGT measured during an engine cycle without the spark plug firing. Therefore, EGT rises illustrated any combustion made by surface ignition. Modelling and simulation of a one-dimensional engine combustion done by using GT-Power. The new approach reduces the complexity as EGT monitoring does not require high computational demands, and the EGT signals are robust to noise. The method is validated against a variety of fuel properties and across engine conditions. A new approach is proposed as a measure to predict and detect the knock events.

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Definition of constants & input and output variables for a parametric model of a SI internal combustion engine

Arias-Cuasapaz,

Muñoz-Zabala,

Meneses-Narváez

et al. 2023

DYNA

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In this article is shown a path to define constants as well as input and output variables when elaborating a parametric model of an internal combustion engine by triggered ignition. There are discussed the different critical factors that should be considered when determining the constants and variables, this includes the engine operating conditions, the properties of the fuel and the emissions generated. In addition, there is also described the methods used to measure and validate these constants, variables, graphic methods and the different type of model founded. It concludes with the revision of the practical applications of the parametric model including its performance and concentration of the CO2 emissions to the environment.

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Development of SI-Engine based Extended MVEMs for use in Estimators for Engine Health Management

Cited by 4 publications

References 47 publications

MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster–Shafer Theory and Multiple Hypotheses Testing

MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster–Shafer Theory and Multiple Hypotheses Testing

A New Approach for Ignition Timing Correction in Spark Ignition Engines Based on Cylinder Tendency to Surface Ignition

Definition of constants & input and output variables for a parametric model of a SI internal combustion engine

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