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8 - Noise and vibration as a diagnostic tool

Published online by Cambridge University Press:  05 June 2012

M. P. Norton
Affiliation:
University of Western Australia, Perth
D. G. Karczub
Affiliation:
University of Western Australia, Perth
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Summary

Introduction

It is becoming increasingly apparent to engineers that condition monitoring of machinery reduces operational and maintenance costs, and provides a significant improvement in plant availability. Condition monitoring involves the continuous or periodic assessment of the condition of a plant or a machine component whilst it is running, or a structural component whilst it is in service. It allows for fault detection and prediction of any anticipated failure, and it has significant benefits including (i) decreased maintenance costs, (ii) increased availability of machinery, (iii) reduced spare part stock holdings and (iv) improved safety.

Criticality and failure mode analysis techniques are commonly used to identify where improvements in machinery availability and reductions in maintenance costs can be achieved through the integration of condition monitoring techniques. This involves selecting the appropriate modes of condition monitoring (safety, online or offline vibration monitoring, and/or online or offline performance monitoring) based on the machine criticality and modes of failure, and also focuses on optimising the condition monitoring system to achieve specified objectives effectively and at least total cost. Criticality and failure mode analysis now also includes consideration of total production output and plant efficiency (in addition to breakdown/reliability), since these aspects of plant operation are equally important to total operating costs and production output, and hence bottom-line profits of large-scale petrochemical and power generation facilities. Consideration of total production output and plant efficiency represents the latest development in condition monitoring systems and is generically referred to as performance monitoring.

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Publisher: Cambridge University Press
Print publication year: 2003

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References

Proceedings of 2nd International Congress on Acoustic Intensity, CETIM, Senlis, France, 1985
Gade, S. 1985. ‘Sound intensity and its application in noise control,’ Sound and vibration, 3/85, 14–26Google Scholar
Maling, G. C. 1986. Progress in the application of sound intensity techniques to noise control engineering, Proceedings Inter-Noise '86, Cambridge, U.S.A., pp. 41–74
Bell, D. 1984. An envelope technique for the detection and diagnosis of incipient faults in rolling element bearings, Brüel & Kjaer
Bendat, J. S. and Piersol, A. G. 1980. Engineering applications of correlation and spectral analysis, John Wiley & Sons
Lyon, R. H. 1987. Machinery noise and diagnostics, Butterworths
Lyon, R. H. and DeJong, R. G. 1984. ‘Design of a high-level diagnostic system’, Journal of Vibration, Acoustics, Stress, and Reliability in Design 106, 17–21CrossRefGoogle Scholar
Stewart, R. M. 1982. ‘Application of signal processing techniques to machinery health monitoring’, chapter 23 in Noise and vibration, edited by R. G. White and J. G. Walker, Ellis Horwood
Randall, R. B. 1984. Separating excitation and structural response effects in gearboxes, Proceedings of the Third International Conference on Vibrations in Rotating Machinery (I. Mech. E.), York, England, pp. 101–8
Henry, T. A. and Okah-Avae, B. E. 1976. Vibrations in cracked shafts, Proceedings of the First International Conference on Vibrations in Rotating Machinery (I. Mech. E), Cambridge, England, pp. 15–20
Hoefakker, G. 2002. ‘Application note for integrated monitoring concepts’, Bruel and Kjaer Vibro
Adams, R. D., Cawley, P., Pye, C. J. and Stone, B. J. 1978. ‘A vibration technique for non-destructively assessing the integrity of structures’, Journal of Mechanical Engineering Science (I. Mech. E.) 20(2), 93–100CrossRefGoogle Scholar
Shahan, J. E. and Kamperman, G. 1976. ‘Machine element noise’, chapter 8 in Handbook of industrial noise control, edited by L. L. Faulkner, Industrial Press
Blake, W. K. 1986. Mechanics of flow-induced sound and vibration, Academic Press
Glegg, S. 1982. ‘Fan noise’, chapter in Noise and vibration, edited by R. G. White and J. G. Walker, Ellis Horwood
Bell, L. H. 1982. Industrial noise control, Marcel Dekker
Putnam, A. A. 1976. ‘Combustion and furnace noise’, chapter 10 in Handbook of industrial noise control, edited by L. L. Faulkner, Industrial Press
Halliwell, N. A. and Richards, E. J. 1980. Acoustical study of a forging drop hammer, Satellite Symposium on Engineering for Noise Control, 10th International Congress on Acoustics, Adelaide, pp. D1–D8
Hodkiewcz, M. R. and Norton, M. P. 2002. ‘The effect of change in flow on the vibration of double-suction centrifugal pumps’, Proc. Inst. Mech. Engrs E, Mechanical Engineering216, 47–58
Moreland, J. B. 1979. ‘Electrical equipment’, chapter 25 in Handbook of noise control, edited by C. M. Harris, McGraw-Hill
Bloch, H. P. and Geitner, F. K. 1986. Machinery failure analysis and troubleshooting, Gulf Publishing
Hargis, C., Gaydon, B. G. and Kamash, K. 1982. The detection of rotor defects in induction motors, I.E.E. Conference Publication no. 213, pp. 216–220
Cameron, J. R., Thomson, W. T. and Dow, A. B. 1986. ‘Vibration and current monitoring for detecting air gap eccentricity in large induction motors’, I.E.E. Proceedings B 133(3), 155–63Google Scholar
Tavner, P. J., Gaydon, B. G. and Ward, D. M. 1986. ‘Monitoring generators and large motors’, I.E.E. Proceedings B 133(3), 169–80Google Scholar
Reinhart, T. E. and Crocker, M. J. 1982. ‘Source identification on a diesel engine using acoustic intensity measurements, Noise Control Engineering 18(3), 84–92CrossRefGoogle Scholar
Crocker, M. J. and Zockel, M. 1980. Techniques for noise source identification in complex machinery, Satellite Symposium on Engineering for Noise Control, 10th International Congress on Acoustics, Adelaide, pp. B1–B10
McGary, M. C. and Crocker, M. J. 1982. ‘Phase shift errors in the theory and practice of surface intensity measurements’, Journal of Sound and Vibration 82(2), 275–88CrossRefGoogle Scholar
Crocker, M. J. 1979. Identifying sources of noise in engines and vehicles, Proceedings Inter-Noise '79, Warsaw, Poland, pp. 347–56
Eshleman, R. L. 1976. ‘Vibration standards’, chapter 19 in Shock and vibration handbook, edited by C. M. Harris and C. E. Crede, McGraw-Hill

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