Self-tuning routine alarm analysis of vibration signals in steam turbine generators

Costello, Jason and West, Graeme and McArthur, Stephen and Campbell, Graeme (2012) Self-tuning routine alarm analysis of vibration signals in steam turbine generators. IEEE Transactions on Reliability, 61 (3). pp. 731-740. ISSN 0018-9529

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    Abstract

    This paper presents a self-tuning framework for knowledge-based diagnosis of routine alarms in steam turbine generators. The techniques provide a novel basis for initialising and updating time series feature extraction parameters used in the automated decision support of vibration events due to operational transients. The data-driven nature of the algorithms allows for machine specific characteristics of individual turbines to be learned and reasoned about. The paper provides a case study illustrating the routine alarm paradigm and the applicability of systems using such techniques.

    ORCID iDs

    Costello, Jason ORCID logoORCID: https://orcid.org/0000-0002-9935-7549, West, Graeme ORCID logoORCID: https://orcid.org/0000-0003-0884-6070, McArthur, Stephen ORCID logoORCID: https://orcid.org/0000-0003-1312-8874 and Campbell, Graeme;