@inproceedings{
    idaacs09jtms,
    author = "Talonen, Jaakko and Sirola, Miki",
    corerank = "NA",
    booktitle = "Proceedings of the 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)",
    title = "{Generated Control Limits as a Basis of Operator-Friendly Process Monitoring}",
    responsibleauthor = "Talonen, Jaakko",
    keywords = "Fault detection, process monitoring, generated control limits, alarm reduction",
    flags = "AIRC",
    year = "2009",
    internalpdf = "0909IDAACS09-jt-ms.pdf",
    abstract = "Early and accurate fault detection has long been a major challenge in safety of industrial plants. Fault detection and diagnosis can minimize downtime, increase the safety and reduce manufacturing costs. Industrial plants are becoming more instrumented, resulting a large amount of high-dimensional data. In this paper, an approach based on data generated control limits is suggested to detect faults or pre-stage of abnormal event in the process. A feature called alarm balance was developed to clarify monitoring at the power plant. Regardless, the final decision of the process state belong to operators. Real and simulator data is available for this research from Olkiluoto nuclear power reactors in inland."
}