Robot Based Preventive Maintenance System for In-Service Inspection of Equipments

Abstract

Abstract-The current tendency in the petrochemical plants and Aerospace industry is to save weight and life of the equipments in the processing units, in order to reduce costs and to ensure remaining life of components. The world of today is improving with respect to new technologies. As a result, new composites are added to material for gaining a new shape and structure of material. This has made it compulsory for new innovative in non destructive testing specially in ultrasonic inspection, from conventional ultrasonic based on pulse echo method to phased array methods. In parallel to this innovative in ultrasonic, mechanical manipulator have evolved for grinding and take a setup to unapproachable zones. Industrial robot with ultrasonic inspection developed in this paper, with the collaboration of Indian Oil Corporation, Faridabad, India. Which are bringing reliability, durability, accuracy, flexibility, good maintenance and reproducibility for different sizing components to in-service inspection? This paper focused on the evolution of in-service ultrasonic probe with mechanical manipulator in non destructive testing. This evolution system has led to the current scenario systems, where a perfect combination of innovative methods in ultrasonic techniques and robots is meet to our expected delivers.

Establishment of the best maintenance practices for optimal reconfigurable vibrating screen management using decision techniques

“…Using relevant information obtained from the literature on CM (Sanchez and Bagajewicz, 2000;Wang et al, 2014;Fang and Zhaodong, 2015), PM (Badia et al, 2002;Zhao, 2003;Sheu and Kuo, 2006;Liao et al, 2010), OM (Koochaki et al, 2012;Zhang and Zeng, 2015), TPM (Ahuja and Khamba, 2008;Singh et al, 2013;Singh and Bhatia, 2015), PrM (Edwards et al, 1998;Shrotri and Khandagale, 2012), DM (Christian, 2000;Adeyeri and Kareem, 2012), e-M (Levrat et al, 2008) and robotic-driven maintenance (RM) (Akrout et al, 2013;Upadhyay and Pandey, 2015) as well as opinions of beneficiation machines experts such as maintenance managers of beneficiation machines in South African Mining Industries, a machine maintenance management systems classification was developed as depicted in Table AI. This classification system was used for WDM and AHP analysis.…”