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Noise Control of the Beginning and Development Dynamics of Accidents

  • Telman Aliev

About this book

Introduction

This book examines noise-monitoring technologies and tools for registering the threshold of development of the latent period of the transition of a facility or product into an emergency state and controlling the dynamics of this development. It also describes how the use of noise technology can improve the accuracy of the results of traditional methods employed in the analysis of noisy signals. Dr. Aliev analyzes the varieties and stages of the generation and development of defects preceding accidents of technical facilities and devices.

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.

  • 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.

Keywords

Noise monitoring technology intelligent systems accident detection diagnostics accident dynamics

Authors and affiliations

  • Telman Aliev
    • 1
  1. 1.Institute of Control SystemsAzerbaijan National Academy of SciencesBakuAzerbaijan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-12512-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-12511-0
  • Online ISBN 978-3-030-12512-7
  • Buy this book on publisher's site