Expert system to select tunnel boring machine (TBM). (November 2019)

• Record Type: Journal Article
• Authors: Nandan Tripathi, Brij; Kumar Agrawal, Anil; Ray, Dipankar; Chattopadhyaya, Somnath
• Is Part Of: IOP conference series. Volume 691(2019)
• Publication Date: 2019-11
• Subjects: Expert System -- CLIPS -- TBM -- Knowledge-based system -- Artificial Intelligence; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/691/1/012012
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: This paper highlights the requirements for development of an Expert System for selection of Tunnel Boring Machine (TBM). TBM selection is a very intricate process requiring a great deal of expertise in the field of machine, geographical conditions, cost and many other factors. This paper briefly explains the need and methodology to select a TBM. This selection is done here on various geographical parameters. This preliminary stage developed software completely understands the various rules used and generates a promising result.