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Reverse modeling of a diesel engine performance by FCM and ANFIS

Published: 14 June 2007 Publication History

Abstract

The paper includes reverse modeling of a diesel engine performance and emission characteristics. Modeling is done by fuzzy clustering method (FCM) and Adaptive Neural Fuzzy Inference System (ANFIS). Firstly, outputs and inputs parameters of a diesel engine were replaced as part of system. Later, these parameters were grouped into optimal numbers independently by using FCM and K-means clustering algorithm. Later on, these optimal numbers of clustered parameters were used as inputs and outputs of ANFIS to model engine performance and emissions characteristic. Input of the systems were power, torque, specific fuel consumption (sfc), nox, co2 and hc whereas outputs were air flow ratio, fuel rate, pboost, load and cycle. It has been seen that the best results obtained from ANFIS system by using FCM. What the proposed system makes different from pioneers are to be first study of reverse modeling and finding results as intervals instead of points. One more thing is that the load factor has never been implemented in previous studies but included in this study. Last but not least, the proposed system finds outputs in correct optimal interval as 100% ratio by FCM clustering and ANFIS.

References

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  • (2018)Characterization of performance-emission indices of a diesel engine using ANFIS operating in dual-fuel mode with LPGHeat and Mass Transfer10.1007/s00231-018-2312-854:9(2725-2742)Online publication date: 3-Mar-2018
  • (2013)Predicting the Exhaust Emissions of a Spark Ignition Engine Using Adaptive Neuro-Fuzzy Inference SystemArabian Journal for Science and Engineering10.1007/s13369-013-0637-738:12(3485-3493)Online publication date: 6-Sep-2013
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cover image ACM Other conferences
CompSysTech '07: Proceedings of the 2007 international conference on Computer systems and technologies
June 2007
761 pages
ISBN:9789549641509
DOI:10.1145/1330598
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2007

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Author Tags

  1. ANFIS
  2. FCM
  3. K-means
  4. clustering
  5. engine performance

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Overall Acceptance Rate 241 of 492 submissions, 49%

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  • (2018)Comparison Of Modeling Techniques To Be Used As An Objective Function In Optimization TechniquesIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/376/1/012023376(012023)Online publication date: 27-Jun-2018
  • (2018)Characterization of performance-emission indices of a diesel engine using ANFIS operating in dual-fuel mode with LPGHeat and Mass Transfer10.1007/s00231-018-2312-854:9(2725-2742)Online publication date: 3-Mar-2018
  • (2013)Predicting the Exhaust Emissions of a Spark Ignition Engine Using Adaptive Neuro-Fuzzy Inference SystemArabian Journal for Science and Engineering10.1007/s13369-013-0637-738:12(3485-3493)Online publication date: 6-Sep-2013
  • (2010)Comparision of numerical technique and artificiall intelligence techniques for performance modelling of a diesel engineProceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies10.1145/1839379.1839414(191-196)Online publication date: 17-Jun-2010
  • (2010)Application of an adaptive neural-fuzzy system to establish a relationship among nonlinear phenomena in meteorology to obtain monthly rainfall2010 2nd International Conference on Software Technology and Engineering10.1109/ICSTE.2010.5608815Online publication date: Oct-2010
  • (2010)Decision support system for police patrols2010 2nd IEEE International Conference on Information Management and Engineering10.1109/ICIME.2010.5477453(223-227)Online publication date: Apr-2010
  • (2010)Study on Regional Division Based on Self-Adaptive FCM Clustering2010 International Conference on Biomedical Engineering and Computer Science10.1109/ICBECS.2010.5462522(1-4)Online publication date: Apr-2010
  • (2010)A Robust Chaos-Based Watermarking for Copyright Protection2010 International Conference on Biomedical Engineering and Computer Science10.1109/ICBECS.2010.5462439(1-3)Online publication date: Apr-2010
  • (2010)A Multimedia Telemedicine System2010 International Conference on Biomedical Engineering and Computer Science10.1109/ICBECS.2010.5462373(1-3)Online publication date: Apr-2010
  • (2009)CI-PASM - Computational Intelligence Based Prognostic Automotive System Model2009 4th IEEE Conference on Industrial Electronics and Applications10.1109/ICIEA.2009.5138896(3714-3719)Online publication date: May-2009

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