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Misfire detection of homogeneous charge compression ignition engines using matter‐element extension theory and thermodynamic multi zone model
Author(s) -
Asghari Mohsen,
Saray Rahim Khoshbakhti,
Neshat Elaheh
Publication year - 2020
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.13403
Subject(s) - extension (predicate logic) , ignition system , range (aeronautics) , combustion , set (abstract data type) , variance (accounting) , computer science , mode (computer interface) , finite element method , mathematics , engineering , structural engineering , physics , thermodynamics , chemistry , accounting , organic chemistry , business , programming language , aerospace engineering , operating system
Nowadays, researchers tend to simulate and model the studied phenomena to reduce the calculation time and cost. Matter‐element extension model is a useful method that can be used to evaluate a wide range of data that belong to different subjects. In this study, this model is used to diagnose different engine's performance modes including misfire, normal, knock, and middle modes in which both of the mentioned modes are occurred simultaneously. To achieve this purpose, a set of performance and emission parameters acquired for a multi zonal model are chosen as input data to the model. Statistical analysis is done on a set of experimental data. First, ANOVA (analysis of variance) is used to determine parameters significant level. Then the proportional weights are given for the chosen parameters with respect to their importance. To do this, linear regression analysis is used for determination of weights. Two kinds of single objective and two objectives matter‐element extension models are employed to diagnose the engine's operation mode. The results show that both the single objective and two objectives models show a good conformity with the corresponding experimental results without acquiring empirical data. Single objective model can predict misfire, normal combustion, and knocking combustion. Meanwhile the two objectives model can predict the middle modes containing normal‐misfire, misfire‐knock, and knock‐normal accurately.