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Statistical finger-printing and prediction of plant vibration signals

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1 Author(s)
Golder, A. ; Eng. Resources Div., ScottishPower, Glasgow, UK

The usefulness of vibration monitoring is widely recognised in the electricity supply industry. This paper discusses a system which statistically analyses vibration data online from power generating plant (turbogenerator) and presents the information in a way which assists the plant operator to identify possible plant faults and aids the `expert' in quickly arriving at a fault diagnosis. One of the reasons why this system is particularly attractive arises from the fact that a common approach can be successfully adopted for a wide range of plant without the need for plant-specific mathematical modelling

Published in:

Advanced Vibration Measurements, Techniques and Instrumentation for the Early Prediction of Failure, IEE Colloquium on

Date of Conference:

8 May 1992

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