Overview
- Supports creation of systems that increase safety in facilities such as offshore platforms, drilling rigs, sucker rod pumping units
- Details noise technology applications in seismic activity detection, power engineering, and medical device design
- Illustrates how accidents in some facilities result from less-sensitive measuring instruments
- Illustrates applications with numerous example across many domains
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Table of contents (9 chapters)
Keywords
About this book
He shows that registration of the beginning of the latent period in the transition to an emergency state, based on the results of traditional data analysis technologies used in monitoring systems, is sometimes belated due to the impossibility of analyzing the noise correlated with the useful signal.
The volume further includes algorithms and technologies for computing estimates of correlation functions, spectral characteristics, and other characteristics of noise.
Aimed at professionals and students from a range of fields, including facility and product design engineering, computer science, computational mathematics, control and management systems, geophysics, construction, energy, and medicine, the book provides numerous examples of noise-control intelligent systems. These include implementations at oil and gas production facilities, drilling rigs, and offshore fixed platforms, as well as within transportation, aviation, power engineering, seismology and medicine.
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About the author
Bibliographic Information
Book Title: Noise Control of the Beginning and Development Dynamics of Accidents
Authors: Telman Aliev
DOI: https://doi.org/10.1007/978-3-030-12512-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-12511-0Published: 08 March 2019
eBook ISBN: 978-3-030-12512-7Published: 26 February 2019
Edition Number: 1
Number of Pages: XIII, 201
Number of Illustrations: 7 b/w illustrations, 31 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Facility Management, Quality Control, Reliability, Safety and Risk, Offshore Engineering