Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_026
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Intelligent Fault Diagnosis in Condition—Based Maintenance,Using CART—CBR Model in Oil AnalysisSaeed Ramezani - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Ali Reza Moini - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:Using developed methods, such as maintenance actions, will be helpful in increasing productivity. Productivity will be improved by using at least corrective and at most Preventive Maintenance (PM) such as Condition Based Maintenance (CBM), which is run by using complex technical systems. CBM has a great advantage over other PM techniques. However, it is not so commonly used in industries. The main focus of the present paper is to use intelligent diagnosis techniques to adopt a different data mining approach to oil condition attributes that fulﬁlls the objective. This was achieved by using classiﬁcation methods and Case—Based Reasoning (CBR) to create a decision support system model through a case study to illustrate how a CBM system for truck engine fault diagnosis and prognosis can be designed using the artiﬁcial intelligence method case-based reasoning and oil analysis The results of the combined CART—CBR method were compared with the results of three methods of CBR, CART and neural network. The results of the comparison show a better performance of the CART—CBR combination method
Keywords:Classiﬁcation and Regression Tree (CART), Case—Based Reasoning (CBR), Condition Based Maintenance (CBM), Oil Analysis, Data Mining, Intelligent Diagnosis and Prognosis
COI code: IIEC14_026
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Ramezani, Saeed & Ali Reza Moini, 2017, Intelligent Fault Diagnosis in Condition—Based Maintenance,Using CART—CBR Model in Oil Analysis, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_026.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Ramezani, Saeed & Ali Reza Moini, 2017)
Second and more: (Ramezani & Moini, 2017)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 20366
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Evaluating and prioritizing international market entry strategies in petrochemical industry
- New Product Life Cycles Analysis and Integration with Manufacturing Processes Using System Dynamic Approach
- An Approach to Optimizing the Water Resources ManagementProblem in a Fuzzy Environment
- Optimization of Performance Parameters for OHNS Die Steel using Dimensional Analysis Integrated with Desirability Function
- A Hybrid Genetic Algorithm and Parallel Variable Neighborhood Search for Job Shop Scheduling with an Assembly Stage
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.