Abstract
Operational faults detect and diagnose to maintenance personals is a difficult thing. In PLC controlled flexible manufacturing systems, there is no inherent automatic fault finding module in controller itself, so additional diagnostic module needs to be develop. Developed fault finding and diagnostic modules depending on measured data from the inspection machines and sensor data. In this work, a fault detection and diagnostic module is described based on internal PLC program signal data which is acquired through OPC Server. The observed or real-time PLC signal data is compared with normal PLC signal data to find out possible faults or deviations. The data acquisition procedure and the techniques used have been explained in this paper.
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References
Music, G., Gradisar, D., Matko, D.: IEC 61131-3 Compliant Control Code Generation from Discrete Event Models. In: Proceedings of the 13th Mediterranean Conference on Control and Automation Limassol, Cyprus, June 27-29 (2005)
Jarvis, J., Jarvis, D.: Simulation of a PLC-controlled Assembly Line. In: Proc. of 9th European Simulation Symposium, pp. 342–346 (1997)
Loborg, P.: Error Recovery in Automation – An Overview. Presented at AAAI 1994 Spring Symposium on Detecting and Resolving Errors in Manufacturing Systems, Stanford, Ca, USA (1994)
Kokkinaki, A.I., Valavanis, K.P.: Error Specification, Monitoring and Recovery in Computer Integrated Manufacturing:An Analytic Approach. IEE Proceedings – Control Theory Applications 143(6), 499–508 (1996)
Fadel, H.K., Holloway, L.E.: Using SPC and Template Monitoring Method for Fault Detection and Prediction in Discrete Event Manufacturing Systems. In: Proceedings of the 1999 IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics (1999)
Hsu, H.-M., Chen, Y.-K.: A Fuzzy Reasoning Based Diagnosis System for Control Charts. Journal of Intelligent Manufacturing 12(1), 57–64 (2001)
Toguyéni, A.K.A., Berruet, P., Craye, E.: Models and Algorithms for Failure Diagnosis and Recovery in FMSs. International Journal of Flexible Manufacturing Systems 15(1), 57–85 (2003)
Hu, W., Starr, A.G., Leung, A.Y.T.: Operational Fault Diagnosis of Manufacturing Systems. Journal of Materials Processing Technology 133, 108–117 (2003)
Abdelhameed, M.M., Tolbah, F.A.: Design and implementation of a flexible manufacturing control system using neural network. The International Journal of Flexible Manufacturing Systems 14, 243–279 (2002)
Hu, W., Schroeder, M., Starr, A.G.: A Knowledge Based Real time Diagnosis System for PLC controlled manufacturing Systems, City University London, EC1V 0HB, UK. Department of Computing. School of Engineering, University of Manchester, Manchester, UK
Alenjung, T., Skoldstam, M., Lennartson, B., Akesson, K.: PLC-based Implementation of Process Observation and Fault Detection for DES. In: Proc. of 3rd Annual IEEE Conference on Automation Science and Engineering, Scottsdate, AZ, USA, September 22-25 (2007)
OPC Foundation. OPC Data Access Custom Interface Standard Version 2.05 (EB/OL) (2001-2012), http://www.opcfoundation.org
Hamming, R.W.: Digital Filters, Book, 3rd edn.
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Qin, S., Wang, G. (2012). A Study of Fault Detection and Diagnosis for PLC Controlled Manufacturing System. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34381-0_43
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DOI: https://doi.org/10.1007/978-3-642-34381-0_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34380-3
Online ISBN: 978-3-642-34381-0
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