Fault detection in IP-based process control networks using data mining
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
An approach for failure recognition in IP-based industrial control networks and systems
International Journal of Network Management
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Mission-critical industrial process control networks support secure and reliable communications of devices in a controlling or manufacturing environment. They used to mostly use proprietary protocols and networks. Recently, however, many of them are being migrated to IP-based networks to consolidate many different types of networks into a single common network to simplify network operation, administration, and maintenance, and reduce operational expenses and capital expenditures. Despite their wide deployment, most operators have very little knowledge on how to operate them reliably and securely. This is mainly due to the operators' unfamiliarity with various faults that occur on IP-based process control networks. The current process of detecting and diagnosing faults in process control networks is mostly manual and thus the operators detect the problems only after noticeable process malfunctions. This article presents an overview of industrial process control networks and discusses the issues of introducing IP technologies into them. We then propose a fault detection and diagnosis method which is suitable for IP-based process control networks. We also present the system architecture and implementation of fault detection and diagnosis system as well as its deployment at POSCO. Finally, based on operational experience, we have generated a failure prediction model that can be used to predict potential alarms.