Abdelaziz LAKEHAL, Tarek Khoualdia and Zoubir CHELLI (2019) Quality and Reliability Data Fusion for Improving Decision Making by Means of Influence Diagram: Case Study. Springer, Big Data and Networks Technologies, https://doi.org/10.1007/978-3-030-23672-4_5 , , ISBN : 978-3-030-23671-7 ,
Scientific Publications
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Abstract
The article focuses on the decision making in fault diagnosis of lubri-cation systems. In these systems, the diagnosis covers, in the majority of cases, the mechanical reliability or analysis of lubricating oils, but in a separate man-ner. In this section, the mechanical reliability is considered in combination with the lubricant quality, but the diagnosis process is always infected by uncertain-ties. Bayesian network (BN) model is developed and used as a decision-making tool. From this one, it is possible to quantify the probability of failure of this system. The diagnosis of failures is based on using Fault-Tree (FT) and Baye-sian Network (BN). Firstly, a conversion from FT to BN is presented to estab-lish a quick and accurate diagnosis. Secondly, the diagnosis is optimized by means of Influence Diagram (ID) which measures the preference.
Information
| Item Type | BookChapter |
|---|---|
| Divisions |
» Faculty of Science and Technology |
| ePrint ID | 1730 |
| Date Deposited | 2019-05-10 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/1730 |