Research on Embedded PLC Control System Fault Diagnosis: A Novel Approach

DOI

10.2991/isrme-15.2015.383How to use a DOI?

Keywords

PLC Control System; Fault Diagnosis; Novel Approach; Model-based Methods

Abstract

This paper presents an approach to a novel and efficient diagnostic system for PLC controlled manufacturing systems. A general structure of the diagnostic system is implemented, which is the extension of an existing diagnostic system we have developed in recent years. We artificially get the diagnostic knowledge by model-based methods from the pneumatic and hydraulic circuit diagrams and the PLC program. Knowledge is embedded in the PLC as compared to more useful form, described in the manufacturing system designers keep their minds functionality and business logic. These models include the design and manufacturing systems engineering knowledge to make the diagnosis. Our proposed diagnostic system ca continuously acquire data from the PLC, identify possible faults, search for their causes and suggest corrective actions.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiurong Fan
AU  - Yu Xie
AU  - Meng Ding
PY  - 2015/04
DA  - 2015/04
TI  - Research on Embedded PLC Control System Fault Diagnosis: A Novel Approach
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1876
EP  - 1879
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.383
DO  - 10.2991/isrme-15.2015.383
ID  - Fan2015/04
ER  -