Developing An Intelligent Maintenance DSS for Diagnosing Pump Faults Using Case-Based Reasoning Approach

Alhaam Mansour Aleisawi; Saleh M. Amaitik

Developing An Intelligent Maintenance DSS for Diagnosing Pump Faults Using Case-Based Reasoning Approach

Authors

Alhaam Mansour Aleisawi
elhammukasabi1974@gmail.com
PhD Student, Department of Industrial and Production Engineering, School of Applied Sciences and Engineering, Libyan Academy, Tripoli, Libya
Saleh M. Amaitik Department of Industrial and Manufacturing Engineering, Misurata University, Misurata, Libya

Keywords:

Case-Based Reasoning (CBR), Decision Support System, Fault Diagnosis, Predictive Maintenance, Centrifugal Pumps, Rotating Machinery, Similarity Retrieval, Oil Industry

Abstract

This research paper presents a study on the development of an intelligent decision support system (DSS) for diagnosing pump faults using Case-Based Reasoning (CBR). The system was designed and tested using data from the Arabian Gulf Oil Company (AGOCO), focusing on centrifugal pumps.

The (CBR), is a relatively recent problem-solving technique that is attracting increasing attention and this technique provide a good solution in pump maintenance problems. Following the basic idea in CBR, experiences in solving previous similar pump maintenance problems are used to find the solutions for new problems. Good results are obtained from a wide range of experiments, and the results of the work are evaluated and some directions from this work are obtained.

Dimensions

Published

2026-03-04

How to Cite

Alhaam Mansour Aleisawi, & Saleh M. Amaitik. (2026). Developing An Intelligent Maintenance DSS for Diagnosing Pump Faults Using Case-Based Reasoning Approach. African Journal of Advanced Pure and Applied Sciences, 5(1), 357–370. Retrieved from https://aaasjournals.com/index.php/ajapas/article/view/1885