Название: Локальные системы управления. Введение в многофункциональные АСУТП электростанций. Учебник. 2-е изд.
Автор: Тверской Ю.С.
Издательство: Лань
Год: 2024
Страниц: 670
Язык: русский
Формат: pdf
Размер: 55.8 MB

Показана ретроспектива междисциплинарных основ автоматизации и АСУТП в энергетике. Дан анализ и приведены методы расчета локальных систем автоматического регулирования оборудования энергоблоков. Изложены методология структурного синтеза эффективных систем управления на основе метода термодинамических координат и ее применение для открытых поточных систем и бинарных энергоблоков. Обсуждаются проблемы электроэнергетических «рынков» и их связь с задачами автоматического управления мощностью энергоблоков. Учебник предназначен для бакалавров и магистров, обучающихся по направлению «Управление в технических системах» (энергетика) и смежного с ним профиля «Автоматизированные системы обработки информации и управления в энергетике» направления «Информатика и вычислительная техника», рекомендуется для студентов направления «Теплоэнергетика и теплотехника» профиля «Автоматизация технологических процессов и производств». Книга может быть полезной широкому кругу специалистов по эксплуатации и проектированию систем автоматизации и АСУТП электростанций.

Название: Diesel Emissions and Their Control, 2nd Edition
Автор: Addy Majewski, Hannu Jaaskelainen
Издательство: SAE International
ISBN: 1468605690
Год: 2023
Формат: PDF
Страниц: 1135
Размер: 84,7 МБ
Язык: Английский

Engineers, applied scientists, students, and individuals working to reduce emissions and advance diesel engine technology will find the second edition of Diesel Emissions and Their Control to be an indispensable reference. Whether readers are at the outset of their learning journey or seeking to deepen their expertise, this comprehensive reference book caters to a wide audience.

Название: Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective
Автор: Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah
Издательство: CRC Press
Год выхода: 2024
Страниц: 235
Формат: True PDF
Размер: 10,2 MB
Язык: английский

Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective, the authors delve into the theories and extensive applications of neutrosophic sets, ranging from neutrosophic graphs to single-valued trapezoidal neutrosophic sets and their practical implications in knowledge management, including student learning assessment, academic performance evaluation, and technical article screening. This comprehensive resource is intended to benefit mathematicians, physicists, computer experts, engineers, scholars, practitioners, and students seeking to deepen their understanding of neutrosophic sets and their practical applications in diverse fields.

Название: Material and Energy Recovery from Solid Waste for a Circular Economy
Автор: Atun Roy Choudhury, Sankar Ganesh Palani
Издательство: CRC Press
ISBN: 1032399767
Год: 2023
Формат: PDF
Страниц: 403
Размер: 65,7 МБ
Язык: Английский

Material and Energy Recovery from Solid Waste for a Circular Economy describes solid waste to material and energy recovery to bridge the gap between theoretical possibilities and on-field criticalities. It deals with various resource recovery possibilities from numerous waste streams such as municipal solid, hazardous waste, human faecal sludge, construction and demolition waste, and electronic waste. The practical issues of resource recovery and possible remedies derived through onsite practice and experience are incorporated.

Название: Materials for Energy Conversion and Storage, 1st Edition
Автор: Hieng Kiat Jun, Foo Wah Low
Издательство: CRC Press
ISBN: 1032323116
Год: 2024
Формат: PDF
Страниц: 202
Размер: 19,6 МБ
Язык: Английский

Development of new energy‑related materials is essential in addressing future energy demands. Materials for Energy Conversion and Storage focuses on the materials science related to energy conversion and energy storage technologies. It covers the principles of prospective energy technologies and their relationship to the performance of energy devices.

Название: Wind Energy Storage and Conversion: From Basics to Utilities
Автор: Tariq Altalhi, Inamuddin Inamuddin, Mohammad Luqman
Издательство: Wiley
ISBN: 1394204337
Год: 2024
Формат: PDF
Страниц: 272
Размер: 24,1 МБ
Язык: Английский

This book provides a comprehensive guide to the benefits and developments of wind energy, including energy storage and conversion methods, making it a must-read for those interested in sustainable energy. By going through this book, one can learn more about the usefulness of adopting renewable energies, particularly in light of the widespread use of wind-based devices.

Название: The Essential Handbook of Polymer Terms and Attributes
Автор: Munmaya K Mishra, Biao Duan
Издательство: CRC Press
ISBN: 0367751690
Год: 2024
Формат: PDF
Страниц: 281
Размер: 86,9 МБ
Язык: Английский

The Essential Handbook of Polymer Terms and Attributes not only acts as an encyclopaedia of polymer science but also fosters an appreciation for the significance of polymers in fields including materials science, chemistry, engineering, and medicine. This book serves as an excellent reference book, covering every possible term and attribution associated with the vast and diverse field of polymers.

Название: Sustainable Hard Machining: Implementation and Assessment
Автор: Ashok Kumar Sahoo, Ramanuj Kumar, Amlana Panda
Издательство: CRC Press
ISBN: 1032402997
Год: 2024
Формат: PDF
Страниц: 213
Размер: 61,9 МБ
Язык: Английский

Sustainable Hard Machining: Implementation and Assessment analyzes the various methodologies of cooling and lubrication employed during hard machining operations, along with their potential contributions towards achieving sustainable machining.

Название: Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems
Автор: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo
Издательство: Wiley
ISBN: 1394188757
Год: 2024
Формат: PDF
Страниц: 475
Размер: 16,0 МБ
Язык: Английский

Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems
A timely introduction to the revolutionary technologies reshaping the global energy market
The search for more efficient and sustainable ways to meet society's energy requirements has driven recent technological innovation on an unprecedented scale.

Название: Remote Sensing: Theory and Applications
Автор: P.K. Garg
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 671
Язык: английский
Формат: epub (true)
Размер: 49.4 MB

This book explores the world of remote sensing technology, offering comprehensive insights into its principles, data acquisition methods, advanced processing techniques, and diverse applications. It covers the basics of remote sensing such as the foundational principles and data acquisition techniques, image pre-processing, such as noise removal, radiometric corrections, and image fusion, and advanced classification techniques like Machine Learning algorithms including neural networks and support vector machines. Finally, it discusses disaster management and agriculture, demonstrating how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. It deals with the data collection of natural and man-made objects on the Earth to show their geographic locations as well as characteristics on the maps. Addressing the need for updated information in remote sensing, this book consists of two major divisions: theory covering principal topics and different applications. The book discusses the basic concept of remote sensing, remote sensing systems, processing, classification, and applications of data. In addition, it provides the latest techniques of satellite image classification, such as Artificial Neural Networks, Convolution Neural Networks, k-NN, Object-based Image Analysis, Fuzzy C-Means, Artificial Intelligence, Machine Learning, Deep Learning, Support Vector Machine, Random Forest, Decision Tree, etc., which are not only useful in accurate classification of an extraction of specific objects from images, but also developing innovative solutions.