Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

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

[img]
Preview
PDF
JJAC_RELIAB.pdf - Accepted Author Manuscript

Download (840kB) | Preview

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.