Description

This text provides a thorough explanation of the underlying principles of spectral analysis and the full range of estimation techniques used in engineering. The applications of these techniques are demonstrated in numerous case studies, illustrating the approach required and the compromises to be made when solving real engineering problems. The principles outlined in these case studies are applicable over the full range of engineering disciplines and all the reader requires is an understanding of elementary calculus and basic statistics. The realistic approach and comprehensive nature of this text will provide undergraduate engineers and physicists of all disciplines with an invaluable introduction to the subject and the detailed case studies will interest the experienced professional.

Key Features

No more than a knowledge of elementary calculus, and basic statistics and probability is needed Accessible to undergraduates at any stage of their courses Easy and clear to follow

Readership

Undergraduate engineers of all disciplines (especially marine, civil, offshore and mechanical). Also of interest to undergraduate physicists, researchers and consultants in spectral analysis.

Table of Contents

1. Why understand spectral analysis * 2. Relationships between variables * 3. Time varying signals * 4. Describing signals in terms of frequency * 5. Frequency representation of random signals * 6. Identifying systems relationships from measurements * 7. Some typical applications * 8. Wave directionality monitoring * 9. Motions of moored structures in a seaway * 10. Experimental measurment and time series acquisition * 11. Experimental evaluation of wide band active vibration * 12. Hull roughness and ship resistance * References * Appendices * Index.

Details

No. of pages:
320
Language:
English
Copyright:
© 1995
Published:
Imprint:
Butterworth-Heinemann
Print ISBN:
9780340631713
Electronic ISBN:
9780080541556

About the authors

Grant Hearn

Affiliations and Expertise

Department of Marine Engineering, University of Newcastle-upon-Tyne, UK

Andrew Metcalfe

Affiliations and Expertise

Department of Engineering Mathematics, University of Newcastle-upon Tyne, UK