Intelligent Fault Diagnosis And Remaining Useful Life Prediction Of Rotating Machinery

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Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Yaguo Lei
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Book PDF

Author : Yaguo Lei
Publisher : Butterworth-Heinemann
Page : 376 pages
File Size : 45,5 Mb
Release : 2016-11-02
Category : Technology & Engineering
ISBN : 9780128115350

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Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery by Yaguo Lei Pdf

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

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

Yaguo Lei,Naipeng Li,Xiang Li
Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems Book PDF

Author : Yaguo Lei,Naipeng Li,Xiang Li
Publisher : Springer Nature
Page : 292 pages
File Size : 49,9 Mb
Release : 2022-10-19
Category : Technology & Engineering
ISBN : 9789811691317

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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei,Naipeng Li,Xiang Li Pdf

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

Smart Monitoring of Rotating Machinery for Industry 4.0

Fakher Chaari,Xavier Chiementin,Radoslaw Zimroz,Fabrice Bolaers,Mohamed Haddar
Smart Monitoring of Rotating Machinery for Industry 4 0 Book PDF

Author : Fakher Chaari,Xavier Chiementin,Radoslaw Zimroz,Fabrice Bolaers,Mohamed Haddar
Publisher : Springer Nature
Page : 177 pages
File Size : 47,8 Mb
Release : 2021-08-20
Category : Technology & Engineering
ISBN : 9783030795191

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Smart Monitoring of Rotating Machinery for Industry 4.0 by Fakher Chaari,Xavier Chiementin,Radoslaw Zimroz,Fabrice Bolaers,Mohamed Haddar Pdf

This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0.

Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

Ruqiang Yan,Fei Shen
Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis Book PDF

Author : Ruqiang Yan,Fei Shen
Publisher : Elsevier
Page : 314 pages
File Size : 42,7 Mb
Release : 2023-11-10
Category : Business & Economics
ISBN : 9780323914239

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Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis by Ruqiang Yan,Fei Shen Pdf

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 relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work. Offers case studies for each transfer learning algorithm Optimizes the transfer learning models to solve specific engineering problems Describes the roles of transfer components, transfer fields, and transfer order in intelligent machine diagnosis and prognosis

Sensor Signal and Information Processing III

Wai Lok Woo,Bin Gao
Sensor Signal and Information Processing III Book PDF

Author : Wai Lok Woo,Bin Gao
Publisher : MDPI
Page : 394 pages
File Size : 52,9 Mb
Release : 2021-02-05
Category : Technology & Engineering
ISBN : 9783036500126

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Sensor Signal and Information Processing III by Wai Lok Woo,Bin Gao Pdf

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 to 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 the 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 topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.

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

Weihua Li,Xiaoli Zhang,Ruqiang Yan
Intelligent Fault Diagnosis and Health Assessment for Complex Electro Mechanical Systems Book PDF

Author : Weihua Li,Xiaoli Zhang,Ruqiang Yan
Publisher : Springer Nature
Page : 474 pages
File Size : 49,5 Mb
Release : 2023-09-10
Category : Technology & Engineering
ISBN : 9789819935376

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Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by Weihua Li,Xiaoli Zhang,Ruqiang Yan Pdf

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.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang,Maiying Zhong
Machine Learning Based Fault Diagnosis for Industrial Engineering Systems Book PDF

Author : Rui Yang,Maiying Zhong
Publisher : CRC Press
Page : 87 pages
File Size : 40,6 Mb
Release : 2022-06-16
Category : Technology & Engineering
ISBN : 9781000594935

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Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

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.

Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis

Adiel Teixeira de Almeida,Love Ekenberg,Philip Scarf,Enrico Zio,Ming J. Zuo
Multicriteria and Optimization Models for Risk Reliability and Maintenance Decision Analysis Book PDF

Author : Adiel Teixeira de Almeida,Love Ekenberg,Philip Scarf,Enrico Zio,Ming J. Zuo
Publisher : Springer Nature
Page : 502 pages
File Size : 40,7 Mb
Release : 2022-06-28
Category : Business & Economics
ISBN : 9783030896478

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Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis by Adiel Teixeira de Almeida,Love Ekenberg,Philip Scarf,Enrico Zio,Ming J. Zuo Pdf

This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). Intended primarily as an update of the 2015 book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, this edited work provides an integration of applied probability and decision making. Within applied probability, it primarily includes decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In decision making, it includes multicriteria decision making/aiding (MCDM/A) methods and optimization models. Within MCDM, in addition to decision analysis, some of the topics related to mathematical programming areas are considered, such as multiobjective linear programming, multiobjective nonlinear programming, game theory and negotiations, and multiobjective optimization. Methods related to these topics have been applied to the context of RRM. In MCDA, several other methods are considered, such as outranking methods, rough sets and constructive approaches. The book addresses an innovative treatment of decision making in RRM, improving the integration of fundamental concepts from both areas of RRM and decision making. This is accomplished by presenting current research developments in decision making on RRM. Some pitfalls of decision models on practical applications on RRM are discussed and new approaches for overcoming those drawbacks are presented.

Computational Intelligence and Smart Communication

Ritika Mehra,Phayung Meesad,Sateesh K. Peddoju,Dhajvir S. Rai
Computational Intelligence and Smart Communication Book PDF

Author : Ritika Mehra,Phayung Meesad,Sateesh K. Peddoju,Dhajvir S. Rai
Publisher : Springer Nature
Page : 122 pages
File Size : 41,9 Mb
Release : 2022-12-10
Category : Computers
ISBN : 9783031229152

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Computational Intelligence and Smart Communication by Ritika Mehra,Phayung Meesad,Sateesh K. Peddoju,Dhajvir S. Rai Pdf

This book constitutes the proceedings of the First International Conference on Computational Intelligence and Smart Communication, ICCISC 2022, was held in Dehradun, India, in June 2022. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 56 submissions. The aim of the conference was to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field of Computational Intelligence and Smart Communication. It also focused on all aspects of computation intelligence and data sciences with modern and emerging computational topics. The papers are organized in the following topical sections: Wireless Sensor Networks and Computing Technologies; Networks, Security and Privacy Parallel & Distributed Networks; Smart Communication and Technology; and Emerging Computing Computational Intelligence.

Smart Manufacturing Factory

Jiafu Wan,Baotong Chen,Shiyong Wang
Smart Manufacturing Factory Book PDF

Author : Jiafu Wan,Baotong Chen,Shiyong Wang
Publisher : CRC Press
Page : 523 pages
File Size : 47,5 Mb
Release : 2023-12-14
Category : Technology & Engineering
ISBN : 9781000999648

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Smart Manufacturing Factory by Jiafu Wan,Baotong Chen,Shiyong Wang Pdf

Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.

Integration of Cloud Computing with Internet of Things

Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Integration of Cloud Computing with Internet of Things Book PDF

Author : Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 50,5 Mb
Release : 2021-03-08
Category : Computers
ISBN : 9781119769309

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Integration of Cloud Computing with Internet of Things by Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty Pdf

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Om Prakash Jena,Bharat Bhushan,Nitin Rakesh,Parma Nand Astya,Yousef Farhaoui
Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems Book PDF

Author : Om Prakash Jena,Bharat Bhushan,Nitin Rakesh,Parma Nand Astya,Yousef Farhaoui
Publisher : CRC Press
Page : 321 pages
File Size : 53,6 Mb
Release : 2022-05-18
Category : Computers
ISBN : 9781000486827

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Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems by Om Prakash Jena,Bharat Bhushan,Nitin Rakesh,Parma Nand Astya,Yousef Farhaoui Pdf

The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 2

Chengmin Liu
Proceedings of the 23rd Pacific Basin Nuclear Conference Volume 2 Book PDF

Author : Chengmin Liu
Publisher : Springer Nature
Page : 1238 pages
File Size : 53,8 Mb
Release : 2023-05-16
Category : Science
ISBN : 9789811987809

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Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 2 by Chengmin Liu Pdf

“This is the second in a series of three volumes of proceedings of the 23rd Pacific Basin Nuclear Conference (PBNC 2022) which was held by Chinese Nuclear Society. As one in the most important and influential conference series of nuclear science and technology, the 23rd PBNC was held in Beijing and Chengdu, China in 2022 with the theme “Nuclear Innovation for Zero-carbon Future”. For taking solid steps toward the goals of achieving peak carbon emissions and carbon neutrality, future-oriented nuclear energy should be developed in an innovative way for meeting global energy demands and coordinating the deployment mechanism. It brought together outstanding nuclear scientists and technical experts, senior industry executives, senior government officials and international energy organization leaders from all across the world. The proceedings highlight the latest scientific, technological and industrial advances in Nuclear Safety and Security, Operations and Maintenance, New Builds, Waste Management, Spent Fuel, Decommissioning, Supply Capability and Quality Management, Fuel Cycles, Digital Reactor and New Technology, Innovative Reactors and New Applications, Irradiation Effects, Public Acceptance and Education, Economics, Medical and Biological Applications, and also the student program that intends to raise students’ awareness in fully engaging in this career and keep them updated on the current situation and future trends. These proceedings are not only a good summary of the frontiers in nuclear science and technology, but also a useful guideline for the researchers, engineers and graduate students.

Banana Production in Venezuela

Barlin Orlando Olivares Campos
Banana Production in Venezuela Book PDF

Author : Barlin Orlando Olivares Campos
Publisher : Springer Nature
Page : 194 pages
File Size : 41,7 Mb
Release : 2023-07-12
Category : Technology & Engineering
ISBN : 9783031344756

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Banana Production in Venezuela by Barlin Orlando Olivares Campos Pdf

This book presents an important contribution to the knowledge of the banana soils of Venezuela. Banana, the edible fruit of Musaceae, is a staple food for more than 400 million people worldwide due to their nutritional and energy attributes. This makes Musaceae a crop of worldwide relevance, particularly in tropical regions, highlighting the impact of improved Musaceae cropping systems in the current efforts worldwide oriented towards a new agricultural revolution based on sustainable intensification. To achieve this, better practices for food production based on scientific and technical research capable to consider the complexity and variability within the agri-food sector are necessary. The research presented in this book is oriented towards providing answers to the causes of two aspects considered of high relevance for banana production, both affecting productivity and sustainability, always addressed for the Venezuelan conditions, one of the world’s largest producing countries: 1- The impact of phytosanitary risks related to Fusarium Wilt (FW) and the influence of the soil on the incidence of Banana Wilt (BW); and 2- An observed trend towards loss of productivity and decline of soil quality in some commercial farms of Aragua and Trujillo states in Venezuela. The book presents a pioneering study in the application of categorical regression (CATREG) in the characterization of banana soils and analyses soil morphological variables, such as texture, dry consistency, biological activity, reaction to HCl, and type of structure to characterize soil productivity for growing healthy bananas. It develops, for the first time in Venezuela, risk analysis and climatic suitability maps for lethal wilt disease in bananas caused by Fusarium oxysporum f. sp. cubense (Foc) Tropical Race 4 (TR4) (syn. Fusarium odoratissimum). Innovative machine learning techniques are used to predict BW so that future crop development can be done more efficiently and sustainably.

Introduction of Intelligent Machine Fault Diagnosis and Prognosis

O-Suk Yang,Achmad Widodo
Introduction of Intelligent Machine Fault Diagnosis and Prognosis Book PDF

Author : O-Suk Yang,Achmad Widodo
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 2009
Category : Automatic test equipment
ISBN : 1606922637

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Introduction of Intelligent Machine Fault Diagnosis and Prognosis by O-Suk Yang,Achmad Widodo Pdf

Condition monitoring, fault diagnosis and prognosis of machinery have received considerable attention in recent years and they are increasingly becoming important in industry because of the need to increase reliability and decrease possible loss of production due to the fault of equipments. Early fault detection, diagnosis and prognosis can increase equipment availability and performance, reduce consequential damage, prolong machine life and reduce spare parts inventories and break down maintenance. With the development of the artificial intelligence techniques, many intelligent systems have been employed to assist the maintenance management task to correctly interpret the fault data. The book is very easy to study; even if the reader is a beginner in the fault diagnosis area, they do not need special prerequisite knowledge to understand the contents of this book. The book is equipped with software under MATLAB and offers many examples which are related to fault diagnosis processes. It will be very useful to readers who want to study feature-based intelligent machine fault diagnosis and prognosis techniques. The book is dedicated to graduate students of mechanical and electrical engineering, computer science and for practising engineers.