The book aims to highlight the potential of Deep Learning (DL)-enabled methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, inclu...Daugiau...
Intelligent Machinery Fault Diagnostics and Prognostics: The Future of Smart Manufacturing uses an interdisciplinary approach to provide a well-rounded understanding of smart manufacturing. The field of machinery maintenance is und...Daugiau...
This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learni...Daugiau...
This book provides recent theoretical results and applications of the fault diagnosis and fault-tolerant control for the nonlinear systems with higher input powers. Combining adaptive control technique, fuzzy logic systems, neural networks, Observ...Daugiau...
This book provides a comprehensive introduction to recent advances in frequency domain nonlinear vibration features utilized for fault diagnosis in complex structures in the field of mechanical, civil, aeronautical and aerospace engineering. It il...Daugiau...
The goal of this new edition is the same as for the first edition to address the fault detection and isolation topics from a computational perspective, by covering the same important aspects, namely, (1) providing a completely general theoretica...Daugiau...
The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochasti...Daugiau...
This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful...Daugiau...
This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and f...Daugiau...
The book deals with the application of various measures of information like the entropy, divergence, inaccuracy, etc. in modelling lifetimes of devices or equipment in reliability analysis. This is an emerging area of study and research during the...Daugiau...
The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting peoples lives and...Daugiau...
The book aims to highlight the potential of Deep Learning (DL)-enabled methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, inclu...Daugiau...
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis...Daugiau...
This book reports the developments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering. Specifically, this book introduces the authors latest achievements in the past 20 years, including the recursive TLS...Daugiau...
The goal of this new edition is the same as for the first edition to address the fault detection and isolation topics from a computational perspective, by covering the same important aspects, namely, (1) providing a completely general theoretica...Daugiau...
(Išleidimo metai: 19-Dec-2023, Hardback, Leidėjas: Institution of Engineering and Technology, ISBN-13: 9781839537622)
The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology...Daugiau...
Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a...Daugiau...
This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic...Daugiau...
This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remai...Daugiau...
