Pipeline Inspection and Health Monitoring Technology, Hongfang Lu
Автор: Bateman, Richard M. Название: Cased-hole log analysis and reservoir performance monitoring ISBN: 1493920677 ISBN-13(EAN): 9781493920679 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses vital issues, such as the evaluation of shale gas reservoirs and their production. The work serves as a comprehensive reference for production engineers with upstream E&P companies, well logging service company employees, university students, and petroleum industry training professionals.
Автор: Nishchal K. Verma; Al Salour Название: Intelligent Condition Based Monitoring ISBN: 981150511X ISBN-13(EAN): 9789811505119 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.
Автор: Quinones-Grueiro, Marcos, Llanes Santiago, Orestes Название: Monitoring Multimode Continuous Processes ISBN: 303054737X ISBN-13(EAN): 9783030547370 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
Автор: William W. Hsieh Название: Introduction to Environmental Data Science ISBN: 1107065550 ISBN-13(EAN): 9781107065550 Издательство: Cambridge Academ Рейтинг: Цена: 65470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End?of?chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.
Автор: Rizzo Название: European Workshop on Structural Health Monitoring ISBN: 303107257X ISBN-13(EAN): 9783031072574 Издательство: Springer Рейтинг: Цена: 326090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
This is a follow up to Health Assessment of Engineered Structures. It incorporates the most recent developments in health assessment and monitoring of infrastructures covering several advanced conceptual frameworks, different types of sensors, and application potentials. Opportunities and challenges in theoretical, numerical, and experimental investigations generally overlooked in the profession are discussed. Also included are various types of Bayesian filtering concepts improving the commonly used techniques.
Showcasing a multi-faceted, technology-based development in health assessment of infrastructures, several new approaches for health assessment are presented to assess the health of masonry structures, riveted steel railway bridges, and more, such as the use of:
Modified Social Group Optimization (MSGO) - a human-based meta-heuristic optimization technique,
autonomous crack detection approach using Artificial Intelligence,
Augmented Reality (AR) - a digital interface that combines interactive holographic components with the real-world,
vision-based noncontact and targetless vibration sensors, as well as
intelligent use of smartphone-based health assessment.
Автор: Cury Alexandre, Ribeiro Diogo, Ubertini Filippo Название: Structural Health Monitoring Based on Data Science Techniques ISBN: 3030817156 ISBN-13(EAN): 9783030817152 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of "big data" availability and advanced data science.
Introduce yourself to the nuances of modern monitoring for cloud-native applications running on Kubernetes clusters. This book will help you get started with the concepts of monitoring, introduce you to popular open-source monitoring tools, and help with finding the correct set of use cases for their implementation. It covers the in-depth technical details of open-source software used in modern monitoring systems that are tailor made for environments running microservices.
Monitoring Cloud-Native Applications is divided into two parts. Part 1 starts with an introduction to cloud-native applications and the foundational concepts of monitoring. It then walks you through the various aspects of monitoring containerized workloads using Kubernetes as the de-facto orchestration platform. You will dive deep into the architecture of a modern monitoring system and look at its individual components in detail.
Part 2 introduces you to popular open-source tools which are used by enterprises and startups alike and are well established as the tools of choice for industry stalwarts. First off, you will look at Prometheus and understand its architecture and usage. You will also learn about InfluxDB, formerly called TICK Stack (Telegraf, InfluxDB, Chronograf, and Kapacitor). You will explore the technical details of its architecture and the use cases which it solves. In the next chapter, you will be introduced to Grafana, a multi-platform open source analytics and interactive visualization tool that can help you with visualization of data and dashboards.
After reading this book, you will have a much better understanding of key terminologies and general concepts around monitoring and observability. You will also be able to select a suitable monitoring solution from the bouquet of open-source monitoring solutions available for applications, microservices, and containers. Armed with this knowledge, you will be better prepared to design and lead a successful agile operations team.
What You Will Learn
Monitor and observe of metrics, events, logs, and traces
Carry out infrastructure and application monitoring for microservices architecture
Analyze and visualize collected data
Use alerting, reporting, and automated actions for problem resolution
Who This Book Is For
DevOps administrators, cloud administrators, and site reliability engineers (SREs) who manage and monitor applications and cloud infrastructure on a day-to-day basis within their organizations.
Автор: Li Xiaofeng Название: Hurricane Monitoring with Spaceborne Synthetic Aperture Radar ISBN: 981109733X ISBN-13(EAN): 9789811097331 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Following the launch of the first European Space Agency (ESA) operational synthetic aperture radar satellite, Sentinel-1, in 2014, synthetic aperture radar (SAR) data has been freely available on the Internet hub in real-time.
Автор: Liu Chengyu, Li Jianqing Название: Feature Engineering and Computational Intelligence in ECG Monitoring ISBN: 9811538239 ISBN-13(EAN): 9789811538230 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback.
Автор: John Watton Название: Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems ISBN: 1849965919 ISBN-13(EAN): 9781849965910 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the background theory of fluid power and indicates the range of concepts needed for a modern approach to condition monitoring and fault diagnosis. The theory is leavened by 15-years-worth of practical measurements by the author, working with major fluid power companies, and real industrial case studies.
Автор: Gerwin Schalk; J?rgen Mellinger Название: A Practical Guide to Brain–Computer Interfacing with BCI2000 ISBN: 1447157508 ISBN-13(EAN): 9781447157502 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Using the BCI2000 software platform, this volume provides an introduction to Brain-Computer Interface (BCI) experiments. Basic BCI operating principles are described, in addition to signal processing, and a variety of brain signal acquisition methods.
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