Frequency Domain Nonlinear Vibration Features For Fault Diagnosis In Complex Structures
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Frequency Domain Nonlinear Vibration Features For Fault Diagnosis In Complex Structures
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Author : Quankun Li
language : en
Publisher: Springer Nature
Release Date : 2025-03-05
Frequency Domain Nonlinear Vibration Features For Fault Diagnosis In Complex Structures written by Quankun Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Technology & Engineering categories.
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 illustrates their basic principles, advantages, drawbacks and applications in detail through theoretical analysis and simulation/experimental study. This book focuses on frequency domain nonlinear vibration features and its main contents can be classified into two parts according to the introduced features. One is about features based on the SOOS (second-order output spectrum), and the other is about features based on the OS@DF (output spectrum at the double frequency or the second harmonic frequency). Complex structures in this book include satellites, aeroengines, bridges, pipelines, frames, etc., and corresponding multiple degree-of-freedom (MDOF) models include chain-type, beam-type, ring-like, grid-like, unit-like and rotating models. Detailed theoretical analysis and case demonstration help undergraduates, graduates and researchers have a systematical learning process and understand basic dynamic characteristics of complex structures more thoroughly. Then, some models, methods and results in this book can be a valid reference for the design, optimization and iteration of next-generation complex structures. On the other hand, this book provides a totally new inspiration for fault diagnosis methods combined with artificial intelligence and machine learning algorithms since frequency domain nonlinear vibration features introduced in this book are more sensitive and effective to faults.
The Bio Inspired X Structure Mechanism Approach For Exploring Nonlinear Benefits In Engineering
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Author : Xingjian Jing
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
The Bio Inspired X Structure Mechanism Approach For Exploring Nonlinear Benefits In Engineering written by Xingjian Jing and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Science categories.
This book presents a unique approach to the design and analysis of beneficial nonlinearity, which can take an important and critical role in engineering systems and thus cannot be simply ignored in structural design, dynamic response analysis, and parameter selection. A key issue in the area is thus systematically addressed about how to analyze and design potential nonlinearities introduced to or inherent in a system of under study, which is a must-do task in many practical applications involving vibration control, energy harvesting, sensor systems and robots etc. This book, together with several other books in this book series, is to present an up-to-date summary on the most recent development of a cutting-edge method for nonlinearity manipulation and employment developed in recent several years, named as the X-shaped structure or mechanism approach. The X-shaped structure or mechanism is a generic structure or mechanism representing a class of beneficial geometric nonlinearity with realizable and flexible linkage mechanism or structural design of different variants or forms (quadrilateral, diamond, polygon, K/Z/S/V-shape, or others) which all share similar geometric nonlinearity and thus similar nonlinear stiffness/damping properties, flexible in design, and easy to implement. This book is particularly to present a systematic frequency domain analysis, design and optimization method of critical structural or control parameters in nonlinear systems including the X-structure/mechanism dynamics, aiming at better dynamic performance and special nonlinear response as expected in engineering practice. Cases studies in vehicle suspension, energy harvesting, fault detection and fuzzy membership optimization are all showcased. The new analysis and design method introduced in this book definitely present a totally new and powerful approach to optimization and understanding of a class of nonlinear systems from a special frequency domain point of view.
Condition Monitoring And Nonlinear Frequency Analysis Based Fault Detection Of Mechanical Vibration Systems
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Author : Hogir Rafiq
language : en
Publisher: Springer Nature
Release Date : 2023-08-26
Condition Monitoring And Nonlinear Frequency Analysis Based Fault Detection Of Mechanical Vibration Systems written by Hogir Rafiq and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-26 with Technology & Engineering categories.
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 develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.
Robot Systems For Rail Transit Applications
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Author : Hui Liu
language : en
Publisher: Elsevier
Release Date : 2020-06-27
Robot Systems For Rail Transit Applications written by Hui Liu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-27 with Technology & Engineering categories.
Robot Systems for Rail Transit Applications presents the latest advances in robotics and artificial intelligence for railway systems, giving foundational principles and running through special problems in robot systems for rail transit. State-of-the art research in robotics and railway systems is presented alongside a series of real-world examples. Eight chapters give definitions and characteristics of rail transit robot systems, describe assembly and collaborative robots in manufacturing, introduce automated guided vehicles and autonomous rail rapid transit, demonstrate inspection robots, cover trench robots, and explain unmanned aerial vehicles. This book offers an integrated and highly-practical way to approach robotics and artificial intelligence in rail-transit. - Introduces robot and artificial intelligence (AI) systems for rail transit applications - Presents research alongside step-by-step coverage of real-world cases - Gives the theoretical foundations underlying practical application - Offers solutions for high-speed railways from the latest work in robotics - Shows how robotics and AI systems afford new and efficient methods in rail transit
New Generation Artificial Intelligence Driven Diagnosis And Maintenance Techniques
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Author : Guangrui Wen
language : en
Publisher: Springer Nature
Release Date : 2024-09-28
New Generation Artificial Intelligence Driven Diagnosis And Maintenance Techniques written by Guangrui Wen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-28 with Computers categories.
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.
Proceedings Of The Tepen International Workshop On Fault Diagnostic And Prognostic
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Author : Bingyan Chen
language : en
Publisher: Springer Nature
Release Date : 2024-09-02
Proceedings Of The Tepen International Workshop On Fault Diagnostic And Prognostic written by Bingyan Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Technology & Engineering categories.
This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China on May 8–11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligence, and machine learning. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
Proceedings Of Income Vi And Tepen 2021
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Author : Hao Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-09-17
Proceedings Of Income Vi And Tepen 2021 written by Hao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-17 with Technology & Engineering categories.
This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
Condition Monitoring With Vibration Signals
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Author : Hosameldin Ahmed
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-07
Condition Monitoring With Vibration Signals written by Hosameldin Ahmed and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Technology & Engineering categories.
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.
Sustainable Design And Manufacturing 2016
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Author : Rossi Setchi
language : en
Publisher: Springer
Release Date : 2016-04-02
Sustainable Design And Manufacturing 2016 written by Rossi Setchi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-02 with Technology & Engineering categories.
This volumes consists of 59 peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM-16) held in Chania, Crete Greece in April 2016. Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies, and at the same time improve its sustainability by reducing its environmental impact. SDM-16 covers a wide range of topics from sustainable product design and service innovation, sustainable process and technology for the manufacturing of sustainable products, sustainable manufacturing systems and enterprises, decision support for sustainability, and the study of societal impact of sustainability including research for circular economy. Application areas are wide and varied. The book will provide an excellent overview of the latest research and development in the area of Sustainable Design and Manufacturing.
Proceedings Of The Multi Conference 2011
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Author : Himanshu B. Soni
language : en
Publisher: Universal-Publishers
Release Date : 2011-06-06
Proceedings Of The Multi Conference 2011 written by Himanshu B. Soni and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-06 with categories.
The International Conference on Signals, Systems and Automation (ICSSA 2011) aims to spread awareness in the research and academic community regarding cutting-edge technological advancements revolutionizing the world. The main emphasis of this conference is on dissemination of information, experience, and research results on the current topics of interest through in-depth discussions and participation of researchers from all over the world. The objective is to provide a platform to scientists, research scholars, and industrialists for interacting and exchanging ideas in a number of research areas. This will facilitate communication among researchers in different fields of Electronics and Communication Engineering. The International Conference on Intelligent System and Data Processing (ICISD 2011) is organized to address various issues that will foster the creation of intelligent solutions in the future. The primary goal of the conference is to bring together worldwide leading researchers, developers, practitioners, and educators interested in advancing the state of the art in computational intelligence and data processing for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in India and abroad.