CATEGORY: FAULT DIAGNOSIS
The International Journal of Advanced
Manufacturing Technology, June 2012
Remote
diagnosis design for a PLC-based automated system: 2-evaluation of factors
affecting remote diagnosis performance
Ramnath Sekar, Sheng-Jen Hsieh, Zhenhua Wu
Texas A&M University, College Station, TX, USA
Abstract
While
several remote diagnosis architectures have been proposed and standards have
been developed for levels of remote diagnosis, the extent to which the design
of a remote diagnosis architecture can assist a troubleshooter in diagnosis and
the factors affecting remote troubleshooting performance have received less
attention. Authors describe the factors that impact remote troubleshooting
performance, including remote diagnosis architecture, type of failure, level of
expertise of the remote troubleshooter, and skill level of the local operator.
They conducte experiments in which troubleshooters used three levels
of remote diagnosis architectures to diagnose various types of failures in a
programmable logic controller-based discrete automated assembly system while
working with a local engineer and novice operators. Results indicate that for
diagnosis of failures related to measured or monitored system variables by
remote expert troubleshooters, remote troubleshooting performance improved with
the increase in the levels of the remote diagnosis architectures. In contrast,
in diagnosis of these failures by novice troubleshooters, no significant difference
was observed between the three architectures in terms of remote troubleshooting
performance, and the novice troubleshooters experienced problems with managing
the increased information available.
An empirical study to test the ability of ecological interfaces to help
diagnose faults in petrochemical processes was performed with professional
operators in a realistic plant
Full Text Source (Subscription or Fee): http://link.springer.com/article/10.1007%2Fs00170-012-4242-9?LI=true
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