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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.
LanguageEnglish
Pages731-740
Number of pages10
JournalIEEE Transactions on Reliability
Volume61
Issue number3
DOIs
Publication statusPublished - Sep 2012

Fingerprint

Turbogenerators
Steam turbines
Feature extraction
Time series
Turbines
Tuning

Keywords

  • knowledge based systems
  • nuclear power generation
  • self-tuning
  • time series analysis

Cite this

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title = "Self-tuning routine alarm analysis of vibration signals in steam turbine generators",
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.",
keywords = "knowledge based systems, nuclear power generation, self-tuning, time series analysis",
author = "Jason Costello and Graeme West and Stephen McArthur and Graeme Campbell",
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Self-tuning routine alarm analysis of vibration signals in steam turbine generators. / Costello, Jason; West, Graeme; McArthur, Stephen; Campbell, Graeme.

In: IEEE Transactions on Reliability, Vol. 61, No. 3, 09.2012, p. 731-740.

Research output: Contribution to journalArticle

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AU - McArthur, Stephen

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