New Generation Artificial Intelligence Driven Diagnosis And Maintenance Techniques

Author : Guangrui Wen,Zihao Lei,Xuefeng Chen,Xin Huang
Publisher : Springer
Page : 0 pages
File Size : 43,5 Mb
Release : 2024-06-06
Category : Computers
ISBN : 9819711754

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New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques by Guangrui Wen,Zihao Lei,Xuefeng Chen,Xin Huang Pdf

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 people's lives and property. In actual engineering scenarios, machine users always hope to use an automatic method to shorten the maintenance cycle and improve the accuracy of fault diagnosis and prognosis. In the past decade, Artificial Intelligence applications have flourished in many different fields, which also provide powerful tools for intelligent diagnosis and maintenance. This book highlights the latest advances and trends in new generation artificial intelligence-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex network, graph neural network and multi-source information fusion, for diagnosis and maintenance of rotating machinery. Its primary focus is on the utilization of advanced artificial intelligence techniques to monitor, diagnose, and perform predictive maintenance of critical structures and machines, such as aero-engine, gas turbines, wind turbines, and machine tools. The main markets of this book include academic and industrial fields, such as academic institutions, libraries of university, industrial research center. This book is essential reading for faculty members of university, graduate students, and industry professionals in the fields of diagnosis and maintenance.

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 49,6 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Author : Didier Theilliol,Józef Korbicz,Janusz Kacprzyk
Publisher : Springer Nature
Page : 352 pages
File Size : 49,5 Mb
Release : 2023-07-15
Category : Technology & Engineering
ISBN : 9783031275401

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Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis by Didier Theilliol,Józef Korbicz,Janusz Kacprzyk Pdf

The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.

Author : Jihong Yan
Publisher : John Wiley & Sons
Page : 354 pages
File Size : 54,9 Mb
Release : 2015-02-02
Category : Technology & Engineering
ISBN : 9781118638729

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Machinery Prognostics and Prognosis Oriented Maintenance Management by Jihong Yan Pdf

This book gives a complete presentatin of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Presents an introduction to advanced maintenance systems, and discusses the key technologies for advanced maintenance by providing readers with up-to-date technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life prediction and maintenance scheduling, enhancing the understanding of these technologies Pulls togeter recent developments and varying methods into one volume, complemented by practical examples to provide a complete reference

Author : Min Liu,Ling Li,Feng Yan
Publisher : Springer
Page : 0 pages
File Size : 41,6 Mb
Release : 2024-08-12
Category : Technology & Engineering
ISBN : 981972676X

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Intelligent Predictive Maintenance by Min Liu,Ling Li,Feng Yan Pdf

In the field of equipment/product operation and maintenance (O&M) services, the new generation of information technologies such as the internet, big data, and artificial intelligence are deeply integrated with O&M services to form an internet-based Maintenance Repair & Operation (MRO) service network and an intelligent service environment. To deal with the uncertainties of multiple collaborative entities and highly random equipment failures in the large-scale MRO network, this book establishes the theory, technology, and methods of Intelligent Predictive Maintenance (IPdM) for the MRO service network through the study of high-quality acquisition and integration of multi-source heterogeneous data, data-driven equipment fault diagnosis and prediction, large-scale maintenance decision-making, feedback, and control. The book systematically elaborates on the emerging theories, technologies, and methods in the field of equipment/product O&M services, covering a wide range of topics with rich contents. It emphasizes both systematic and scientific approaches as well as practicality. It offers both comprehensive and specialized discussions to reflect the strategic deployment and implementation of China's new generation of intelligent manufacturing and artificial intelligence in this field. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

Author : Pethuru Raj Chelliah,Venkatraman Jayasankar,Mats Agerstam,B. Sundaravadivazhagan,Robin Cyriac
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 54,5 Mb
Release : 2023-12-04
Category : Computers
ISBN : 9781119985600

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The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by Pethuru Raj Chelliah,Venkatraman Jayasankar,Mats Agerstam,B. Sundaravadivazhagan,Robin Cyriac Pdf

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

Author : K.Mohana Sundaram,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,P. Pandiyan
Publisher : CRC Press
Page : 164 pages
File Size : 50,9 Mb
Release : 2022-03-07
Category : Science
ISBN : 9781000545890

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Photovoltaic Systems by K.Mohana Sundaram,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,P. Pandiyan Pdf

This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications. Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system Explains AC and DC side of the solar PV system-based electricity generation with real-time examples Covers effective extraction of the energy from solar radiation Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system Includes MATLAB® based simulations and results on fault diagnosis including case studies This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.

Author : Tulsi Pawan Fowdur,Satyadev Rosunee,Robert T. F. Ah King,Pratima Jeetah,Mahendra Gooroochurn
Publisher : Emerald Group Publishing
Page : 268 pages
File Size : 48,5 Mb
Release : 2024-01-18
Category : Business & Economics
ISBN : 9781837535422

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Artificial Intelligence, Engineering Systems and Sustainable Development by Tulsi Pawan Fowdur,Satyadev Rosunee,Robert T. F. Ah King,Pratima Jeetah,Mahendra Gooroochurn Pdf

An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.

Author : Dimitris Kiritsis,Melinda Hodkiewicz,Oscar Lazaro,Jay Lee,Jun Ni
Publisher : Frontiers Media SA
Page : 124 pages
File Size : 41,9 Mb
Release : 2021-03-10
Category : Science
ISBN : 9782889665839

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Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing by Dimitris Kiritsis,Melinda Hodkiewicz,Oscar Lazaro,Jay Lee,Jun Ni Pdf

Author : Khalid Shaikh,Sabitha Krishnan,Rohit Thanki
Publisher : Springer Nature
Page : 107 pages
File Size : 48,8 Mb
Release : 2020-12-04
Category : Technology & Engineering
ISBN : 9783030592080

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Artificial Intelligence in Breast Cancer Early Detection and Diagnosis by Khalid Shaikh,Sabitha Krishnan,Rohit Thanki Pdf

This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics

Author : Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo
Publisher : Springer Nature
Page : 297 pages
File Size : 52,8 Mb
Release : 2023-03-15
Category : Technology & Engineering
ISBN : 9783031231568

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Emerging Technologies in Manufacturing by Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo Pdf

The manufacturing industry is a cornerstone of national economy and people’s livelihood. It is the way of transforming resources into products or goods which are required to cater to the needs of the society. Traditional manufacturing companies currently face several challenges such as rapid technological changes, inventory problem, shortened innovation, short product life cycles, volatile demand, low prices, highly customized products, and ability to compete in the global markets. Modern manufacturing is highly competitive due to globalization and fast changes in the global market. This book reviews emerging technologies in manufacturing. These technologies include artificial intelligence, smart manufacturing, lean manufacturing, robotics, automation, 3D printing, nanotechnology, industrial Internet of things, and augmented reality. The use of these technologies will have a profound impact on the manufacturing industry. The book consists of 19 chapters. Each chapter addresses a single emerging technology in depth and describes how manufacturing organizations are adopting the technology. The book fills an important niche for manufacturing. It is a comprehensive, jargon-free introductory text on the issues, ideas, theories, and problems on emerging technologies in manufacturing. It is a must-read book for beginners or anyone who wants to be updated about emerging technologies.

Author : Jun Wang,Xianping Zhong,Xingang Zhao,Joseph P. Yurko,Shripad T. Revankar
Publisher : Frontiers Media SA
Page : 155 pages
File Size : 50,7 Mb
Release : 2021-09-13
Category : Technology & Engineering
ISBN : 9782889712991

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Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-driven methods by Jun Wang,Xianping Zhong,Xingang Zhao,Joseph P. Yurko,Shripad T. Revankar Pdf

Author : Ovidiu Vermesan
Publisher : CRC Press
Page : 435 pages
File Size : 40,8 Mb
Release : 2022-09-01
Category : Medical
ISBN : 9781000794311

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Artificial Intelligence for Digitising Industry – Applications by Ovidiu Vermesan Pdf

This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.

Author : O-Suk Yang,Achmad Widodo
Publisher : Unknown
Page : 0 pages
File Size : 50,8 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.

Author : J. Jeffrey Richardson
Publisher : William Andrew
Page : 520 pages
File Size : 42,7 Mb
Release : 1985
Category : Computers
ISBN : UOM:39015020867464

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Artificial Intelligence in Maintenance by J. Jeffrey Richardson Pdf