NDLI: Remote diagnosis design for a PLC-based automated system: 1-implementation of three levels of architectures

Content Provider	Springer Nature Link
Author	Sekar, Ramnath Hsieh, Sheng Jen Wu, Zhenhua
Copyright Year	2011
Abstract	To troubleshoot the equipment installed in geographically distant locations, equipment manufacturers and system integrators are increasingly resorting to remote diagnosis, thereby achieving savings in cost and time for both customers and manufacturers. Remote diagnosis involves the use of communication technologies to perform fault diagnosis of a system located at a site distant to a troubleshooter. Several frameworks for remote diagnosis have been proposed, incorporating advancements such as automated fault diagnosis, collaborative diagnosis, and mobile communication techniques. Furthermore, standards for different levels of remote diagnosis exist. However, there has been relatively little research on the application of these levels of remote diagnosis architectures to diagnose failures in a discrete automated system. This paper is the first of two parts of a design for remote diagnosis for a programmable logic controller (PLC)-based discrete automated system. It investigates experimental variables, infrastructure, and hardware and software used for diagnosis in order to empirically validate the use of hierarchical levels of remote diagnosis architectures by experts to remotely diagnose failures in a PLC-based automated assembly line. Common failures in automated assembly systems were identified and duplicated. The suitability of each level of architecture for diagnosing different types of failures was evaluated based on ratings from experts in the field of automation. The experts opined that the architecture with the most advanced capabilities was most suitable for diagnosing failures related to measured or monitored system variables. For failures purely related to system hardware that could not be monitored, an architecture with basic capabilities was preferred.
Starting Page	683
Ending Page	700
Page Count	18
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	57
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-06
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Automated systems Remote diagnosis Programmable logic controller Diagnosis architectures Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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