(Izdošanas datums: 06-Jun-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040026595)
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, including auto-encoders...Lasīt vairāk
(Izdošanas datums: 06-Jun-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040026618)
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, including auto-encoders...Lasīt vairāk
The goal of this new edition is the same as for the first edition "e;to address the fault detection and isolation topics from a computational perspective"e;, by covering the same important aspects, namely, (1) providing a completely...Lasīt vairāk
The goal of this new edition is the same as for the first edition "e;to address the fault detection and isolation topics from a computational perspective"e;, by covering the same important aspects, namely, (1) providing a completely...Lasīt vairāk
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 relativ...Lasīt vairāk
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 relativ...Lasīt vairāk
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author...Lasīt vairāk
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author...Lasīt vairāk
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 aft...Lasīt vairāk
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 aft...Lasīt vairāk
(Izdošanas datums: 10-Feb-2023, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000835960)
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...Lasīt vairāk
(Izdošanas datums: 10-Feb-2023, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000835946)
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...Lasīt vairāk
(Izdošanas datums: 17-Nov-2022, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000796483)
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 la...Lasīt vairāk
(Izdošanas datums: 17-Nov-2022, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000792829)
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 la...Lasīt vairāk
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 study...Lasīt vairāk
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 study...Lasīt vairāk
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 remainin...Lasīt vairāk
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 remainin...Lasīt vairāk
(Izdošanas datums: 31-Aug-2022, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000641066)
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...Lasīt vairāk
(Izdošanas datums: 31-Aug-2022, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000641110)
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...Lasīt vairāk
