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BL
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| Record Number
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860988
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| Main Entry
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Aliev, T. A.
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| Title & Author
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Noise control of the beginning and development dynamics of accidents /\ Telman Aliev.
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| Publication Statement
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Cham, Switzerland :: Springer Nature,, ©2019.
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| Page. NO
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1 online resource
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| ISBN
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3030125122
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: 9783030125127
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3030125114
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9783030125110
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Intro; Preface; Contents; Introduction; 1 Specifics and Difficulties of Control of the Beginning of Accident Initiation and Development Dynamics; 1.1 Causes and Specifics of Accident Initiation; 1.2 Types and Development Stages of Defects Preceding Accidents in Technical Facilities; 1.3 Sensors and Specifics of Information Support for the Control of the Beginning of Accident Initiation and Development; 1.4 Models of Signals Received at the Sensor Outputs in the Latent Period of Accidents
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1.5 Difficulties in Controlling the Beginning of the Latent Period of Accidents with the Use of Traditional Technologies1.6 Factors Affecting the Adequacy of the Control of Accident Initiation by Correlation Analysis Methods; 1.7 Factors Affecting the Adequacy of the Control of Accident Initiation by Spectral Analysis Methods; 1.8 Effects of the Signal Filtration on the Result of the Control of the Beginning of Defect Initiation; 1.9 Effects of Traditional Methods of Sampling Interval Selection on the Adequacy of Control of the Beginning of Accident Initiation; References
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2 Correlation Technology for Noise Control of the Beginning and Development Dynamics of the Latent Period of Accidents2.1 Correlation Noise Technology for Calculating the Variance of Noise of Noisy Signals in the Latent Period of Accidents; 2.2 Correlation Technology of Noise Control of Accident Development Dynamics; 2.3 Correlation Technology of Noise Signaling for the Beginning and Development Dynamics of the Latent Period of Accidents; 2.4 Technology for Analyzing the Estimate of the Density of Distribution of Noise by Its Equivalent Samples; References
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3 Algorithms for Forming Correlation Matrices Equivalent to Matrices of Useful Signals in the Latent Period of Object's Emergency State3.1 Difficulties in Forming the Correlation Matrices in the Latent Period of Object's Emergency State; 3.2 Technologies for Forming the Equivalent Correlation Matrices for an Object in the Normal Operating Mode; 3.3 Technology for Forming the Equivalent Correlation Matrix in the Latent Period of Object's Emergency State; References; 4 Spectral Technology for Noise Control of the Beginning and Development Dynamics of the Latent Period of Accidents
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4.1 Algorithms and Technologies for Calculating the Errors in the Estimates of Spectral Characteristics in the Latent Period of Object's Emergency State4.2 Algorithms for Calculating the Estimates of Spectral Characteristics of the Noise in the Latent Period of Object's Emergency State; 4.3 Spectral Technology of Noise Signaling for the Beginning of the Latent Period of Accidents; 4.4 Position-Binary Technology for the Control of the Beginning of the Latent Period of Accidents of Objects of Periodical Operation
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| Abstract
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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.
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| Subject
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Defect correction methods (Numerical analysis)
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Noise control-- Mathematical models.
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Random noise theory-- Mathematical models.
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Signal detection.
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Defect correction methods (Numerical analysis)
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Noise control-- Mathematical models.
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Random noise theory-- Mathematical models.
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Signal detection.
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TECHNOLOGY ENGINEERING-- Engineering (General)
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TECHNOLOGY ENGINEERING-- Reference.
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| Dewey Classification
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620.23
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| LC Classification
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TD892
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