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Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

2024-06-06 Computers
Download Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems PDF Online Free

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Release : 2024-06-06
Genre : Computers
Kind : eBook
Book Rating : 613/5 ( reviews)

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Book Synopsis Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems by : Ruqiang Yan

Download or read book Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems written by Ruqiang Yan. This book was released on 2024-06-06. Available in PDF, EPUB and Kindle. Book excerpt: 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, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.

Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

2024-06-06 Computers
Download Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems PDF Online Free

Author :
Release : 2024-06-06
Genre : Computers
Kind : eBook
Book Rating : 591/5 ( reviews)

GET EBOOK


Book Synopsis Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems by : Ruqiang Yan

Download or read book Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems written by Ruqiang Yan. This book was released on 2024-06-06. Available in PDF, EPUB and Kindle. Book excerpt: 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, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

2022-10-19 Technology & Engineering
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Release : 2022-10-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 312/5 ( reviews)

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Book Synopsis Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by : Yaguo Lei

Download or read book Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems written by Yaguo Lei. This book was released on 2022-10-19. Available in PDF, EPUB and Kindle. Book excerpt: 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 remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

2022-06-16 Technology & Engineering
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Release : 2022-06-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 920/5 ( reviews)

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Book Synopsis Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by : Rui Yang

Download or read book Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems written by Rui Yang. This book was released on 2022-06-16. Available in PDF, EPUB and Kindle. Book excerpt: 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 fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

2023-09-10 Technology & Engineering
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Release : 2023-09-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 377/5 ( reviews)

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Book Synopsis Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by : Weihua Li

Download or read book Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems written by Weihua Li. This book was released on 2023-09-10. Available in PDF, EPUB and Kindle. Book excerpt: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

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