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| Author | : Chuan Li |
| Publisher | : |
| Total Pages | : 89 |
| Release | : 2018 |
| Genre | : Automatic control |
| ISBN | : 9781538660577 |
| Author | : Chuan Li |
| Publisher | : |
| Total Pages | : 830 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2018-08-15 |
| Genre | : |
| ISBN | : 9781538660584 |
SDPC 2018 is seeking original papers for presentation at this event Researchers and participants from academia, industry, and government organizations are invited to submit papers, and the SDPC topics and applications include but are not limited to Unmanned System and its application Intelligent technologies for unmanned system Aerospace and aviation systems Aircraft design and testing Accelerated life and degradation test Advanced sensing and data acquisition Algorithms and implementation Battery thermal management and health management Big data analytics Codes and standards Data driven and model based methods Decision support and simulation Economics of prognostics and health management Fault adaptive control methods Intelligent control systems Intelligent manufacturing Maintenance modeling and optimization Monitoring, diagnostic and prognostic methods Prognostics for electronics components and systems Prognostics for energy storage and smart grid etc
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2017-08-16 |
| Genre | : |
| ISBN | : 9781509040216 |
The scope of SDPC 2017 includes the research and development fields of sensing, diagnostics, prognostics, and control
| Author | : Chuan Li |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Aerospace engineering |
| ISBN | : |
| Author | : Nishchal K. Verma |
| Publisher | : Springer Nature |
| Total Pages | : 330 |
| Release | : 2020-01-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9811505128 |
This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. 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.
| Author | : Wai Lok Woo |
| Publisher | : MDPI |
| Total Pages | : 418 |
| Release | : 2020-12-29 |
| Genre | : Technology & Engineering |
| ISBN | : 3039282700 |
In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.
| Author | : Santhosh K V |
| Publisher | : Springer Nature |
| Total Pages | : 503 |
| Release | : 2021-05-10 |
| Genre | : Technology & Engineering |
| ISBN | : 9811603367 |
This book presents the select proceedings of Control Instrumentation and System Conference, (CISCON 2020) held at Manipal Institute of Technology, MAHE, Manipal. It examines a wide spectrum covering the latest trends in the fields of instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety critical control, supervisory control, system modeling and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive control, automation and control and allied fields.
| Author | : Francesco Ferracuti |
| Publisher | : MDPI |
| Total Pages | : 130 |
| Release | : 2021-03-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3036504621 |
Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.
| Author | : Piervincenzo Rizzo |
| Publisher | : Springer Nature |
| Total Pages | : 969 |
| Release | : 2021-01-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3030645940 |
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. 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. The contents of this volume reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020.
