Assessing the competency of a semi-parametric expert system in the realms of response characterization uncertainty in premixed methanol dual fuel diesel combustion strategies: In critique to RSM

作者：

Highlights：

• Assessment of GEP as a semi-parametric expert system vs RSM.

• Challenges of Diesel-Methanol PPDF response characterization.

• Information loss estimation through D-KL based entropy analysis.

• Comparative model quality analysis through AE, RE and Correlation based metrics.

• GEP technique as a robust tool for ECU based engine mapping and calibration.

摘要

•Assessment of GEP as a semi-parametric expert system vs RSM.•Challenges of Diesel-Methanol PPDF response characterization.•Information loss estimation through D-KL based entropy analysis.•Comparative model quality analysis through AE, RE and Correlation based metrics.•GEP technique as a robust tool for ECU based engine mapping and calibration.

论文关键词：Premixed methanol in diesel combustion,Semi-parametric vs. parametric Characterization,Soot-NOx-UHC-CO-BSFC-COVIMEP,Gene expression programming,RSM,Theil Uncertainty,Information entropy

论文评审过程：Received 28 January 2021, Revised 4 June 2021, Accepted 28 June 2021, Available online 4 July 2021, Version of Record 24 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115516