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The automatic interpretation of vibrationdata from gas turbines

Published online by Cambridge University Press:  04 July 2016

R.J. Allwood ,
S.P. King  and
N.J. Pitts
R.J. Allwood
Affiliation:
Department of Civil and Building Engineering, Loughborough University of Technology, Loughborough
S.P. King
Affiliation:
Rolls-Royce, Derby
N.J. Pitts
Affiliation:
Rolls-Royce, Bristol
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Abstract

A knowledge-based computer system has been developed toautomatically scan and interpret graphical displaysof vibration data taken from strain gauges mountedon the blades of gas turbines performingacceleration tests. The various characteristic lineswhich appear on these displays are recognised andclassified and the lines representing modes ofvibration are examined to determine which mode isbeing excited and the severity of the excitation.All lines are compared, by a “blackboard” technique,against those predicted by the system working fromthe engine specification, laboratory tests andfinite element analyses. Any unexpected features arereported for manual inspection.

Several series of tests have now been made on thesystem. In the first test on 130 diagrams, every oneof over 3000 features visible to the human eye wasdetected and then classified.

Information

Type
Research Article
Information
The Aeronautical Journal , Volume 100 , Issue 993 , March 1996 , pp. 99 - 107
Copyright
Copyright © Royal Aeronautical Society 1996 

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References

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