EXPERT SYSTEM FOR DETECTING AND DIAGNOSING CAR ENGINE OVERHEATING FAULT USING DYNAMIC CONTROL SYSTEM (DCS)

  • David Ibitayo Lanlege Federal University Lokoja
  • Adeola Isaac Adeniyi Federal University Lokoja
  • Abdullahi A. Wachin Airforce Institute of Technology Kaduna
  • Abayomi Opeyemi Olojede Federal University Lokoja
Keywords: Car Engine Overheating, Generating Function, Input and Output equations, Differential Equations, Matrix/Vector State Space Representation (MSSR), Dynamic Control Systems (DCS), State Equation

Abstract

Dynamic Control Systems (DCS) can be applied in detecting and diagnosing car engine overheating and can be continuously implemented to serve fields such as Applied Mathematics, among others. Car engine overheating is a sequence of diagnostic processes that deploys expertise. In addition, Advanced System is one of the leading Artificial Intelligence techniques that have been adopted to handle such tasks. This paper presents the imperatives for an advanced system in developing Dynamic Control Systems for detecting and diagnosing car engine overheating through input and output requirements of constructing successful differential equations. Thus, DCS provides input and output equations in the form of Matrix/Vector State Space Representation (MSSR) via mathematical Differential Equations in the form of the DCS approach.

References

Ahmad, T. (2006). Expert systems: Principles and programming. Scalable Computing: Practice and Experience, 7(4).

Al-Taani, A. T. (2005). An expert system for car failure diagnosis. IEC (Prague), 5, 457560.

Durkin, J. (1990b). Expert systems: Design and development. Macmillan Publishing Company.

Durkin, J. (1990a). Research review: Application of expert systems in the sciences.

Ibitayo, L., Mohammed, G., Rabiu, I., & Abdulrahman, A. (2016). Expert system for detecting and diagnosing car engine brake failure fault using dynamic control system (DCS). Applied & Computational Mathematics, 5 (1), 29.

Ibitayo, O. M., Ayeni, A. A., & Ayinde, A. B. (2015). Control systems engineering: Design, analysis, and applications.

Lanlege, D. I., Garba, U. M., Gana, U. M., & Abdulganiyu, A. (2015). Expert system for detecting and diagnosing car engine starter cranks fault using dynamic control system. Leonardo Journal of Sciences, (27), 41-62

Lee, C., & Salapaka, S. M. (2009). Fast robust nanopositioning A linear-matrix-inequalities-based optimal control approach. IEEE/ASME Transactions on Mechatronics, 14 (4), 414422. DOI: https://doi.org/10.1109/TMECH.2009.2023903

Neeta, A., Radhika, M., & Sushma, S. (2010). Human-computer interaction in expert systems.

Pantazi, A. (2009, December 1011). Track-follow control for tape storage. Workshop on Dynamics and Control of Micro and Nanoscale Systems, IBM Research - Zurich.

Pantazi, A., Sebastian, A., Antonakopoulos, T. A., Bchtold, P., Bonaccio, A. R., Bonan, J & Eleftheriou, E. (2008). Probe-based ultrahigh-density storage technology. IBM Journal of Research and Development, 52 (4.5), 493511. DOI: https://doi.org/10.1147/rd.524.0493

Pantazi, A., Sebastian, A., Cherubini, G., Lantz, M., Pozidis, H., Rothuizen, H., & Eleftheriou, E. (2007). Control of MEMS-based scanning-probe data-storage devices. IEEE Transactions on Control Systems Technology, 15 (5), 824841 DOI: https://doi.org/10.1109/TCST.2006.890286

Rasmussen, A. N., Muratore, J. F., & Heindel, T. A. (1990). The INCO advance system project: CLIPS in shuttle mission control. First CLIPS Conference, 305, 1157.

Salama, A. A., Kadarsah, S., & Nabende, P. (2012). Diagnosis of machine failure using expert systems. (Verma, et al., 2010)

Verma, J., & Aggarwal, J. (2010). An approach towards designing of car troubleshooting advance system. International Journal of Computer Applications, 1 (23), 107114. DOI: https://doi.org/10.5120/534-698

Widodo, W., Suendarti, M., & Hasbullah, H. (2020). Exploring the effect of knowledge management and social intelligence on professional performance of mathematics teachers: a mediating by achievement motivation. Journal of Xidian University, 14(6), 749-757. DOI: https://doi.org/10.37896/jxu14.6/085

Published
2025-07-23
How to Cite
Lanlege, D. I., Adeniyi, A. I., Wachin, A. A., & Olojede, A. O. (2025). EXPERT SYSTEM FOR DETECTING AND DIAGNOSING CAR ENGINE OVERHEATING FAULT USING DYNAMIC CONTROL SYSTEM (DCS). FUDMA JOURNAL OF SCIENCES, 9(7), 294 - 303. https://doi.org/10.33003/fjs-2025-0907-3618