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Misfire detection of homogeneous charge compression ignition engines using matter‐element extension theory and thermodynamic multi zone model
Environmental Progress & Sustainable Energy ( IF 2.1 ) Pub Date : 2020-01-14 , DOI: 10.1002/ep.13403
Mohsen Asghari 1 , Rahim Khoshbakhti Saray 1 , Elaheh Neshat 1
Affiliation  

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.

中文翻译:

基于物元扩展理论和热力学多区域模型的均质充量压燃式发动机失火检测

如今,研究人员倾向于对研究的现象进行仿真和建模,以减少计算时间和成本。物元扩展模型是一种有用的方法,可用于评估属于不同主题的各种数据。在这项研究中,该模型用于诊断不同的发动机性能模式,包括失火,正常,爆震和中间模式,其中提到的两种模式同时发生。为实现此目的,选择了用于多区域模型的一组性能和排放参数作为模型的输入数据。对一组实验数据进行统计分析。首先,使用ANOVA(方差分析)确定参数的显着水平。然后,针对所选参数的重要性给出比例权重。去做这个,线性回归分析用于确定权重。采用两种单目标和两种目标物元扩展模型来诊断发动机的运行模式。结果表明,单目标模型和两个目标模型都与相应的实验结果很好地吻合,而没有获取经验数据。单目标模型可以预测失火,正常燃烧和爆震。同时,两个目标模型可以准确地预测包含正常失火,失火爆震和爆震正常的中间模式。结果表明,单目标模型和两个目标模型都与相应的实验结果很好地吻合,而没有获取经验数据。单目标模型可以预测失火,正常燃烧和爆震。同时,两个目标模型可以准确地预测包含正常失火,失火爆震和爆震正常的中间模式。结果表明,单目标模型和两个目标模型都与相应的实验结果很好地吻合,而没有获取经验数据。单目标模型可以预测失火,正常燃烧和爆震。同时,两个目标模型可以准确地预测包含正常失火,失火爆震和爆震正常的中间模式。
更新日期:2020-01-14
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