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Process Monitoring, Diagnostics and Prognostics in MacHining Processes

Author: Fatih Camci

Publisher: LAP Lambert Academic Publishing

Published: 2010-01

Total Pages: 156

ISBN-13: 9783838335667

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Condition-Based Maintenance (CBM) technology increases system availability and safety while reducing costs, attributed to reduced maintenance and inventory, increased capacity, and enhanced logistics and supply chain performance. Employing effective generic process monitoring methods for abrupt failures and diagnostics and prognostics algorithms for incipient failures is an important prerequisite for widespread deployment of CBM. Diagnostics is the process of identifying, localizing and determining severity of a machine failure, whereas prognostics is the process of estimating the remaining-useful-life (RUL). This work presents methods based on support vector machines and hidden Markov models to diagnose abrupt and incipient failures and to estimate the RUL. The presented methods have the ability to handle non- stationary processes. There exist three major goals of this work: detecting abrupt failures (process monitoring), identifying the state of incipient failures (health state estimation) and estimating RUL of the machine (prognostics).

Book Synopsis Process Monitoring, Diagnostics and Prognostics in MacHining Processes by : Fatih Camci

Download or read book Process Monitoring, Diagnostics and Prognostics in MacHining Processes written by Fatih Camci and published by LAP Lambert Academic Publishing. This book was released on 2010-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition-Based Maintenance (CBM) technology increases system availability and safety while reducing costs, attributed to reduced maintenance and inventory, increased capacity, and enhanced logistics and supply chain performance. Employing effective generic process monitoring methods for abrupt failures and diagnostics and prognostics algorithms for incipient failures is an important prerequisite for widespread deployment of CBM. Diagnostics is the process of identifying, localizing and determining severity of a machine failure, whereas prognostics is the process of estimating the remaining-useful-life (RUL). This work presents methods based on support vector machines and hidden Markov models to diagnose abrupt and incipient failures and to estimate the RUL. The presented methods have the ability to handle non- stationary processes. There exist three major goals of this work: detecting abrupt failures (process monitoring), identifying the state of incipient failures (health state estimation) and estimating RUL of the machine (prognostics).

Diagnostics and Prognostics of Engineering Systems: Methods and Techniques

Author: Kadry, Seifedine

Publisher: IGI Global

Published: 2012-09-30

Total Pages: 461

ISBN-13: 146662096X

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Industrial Prognostics predicts an industrial systems lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the systems performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the methods effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.

Book Synopsis Diagnostics and Prognostics of Engineering Systems: Methods and Techniques by : Kadry, Seifedine

Download or read book Diagnostics and Prognostics of Engineering Systems: Methods and Techniques written by Kadry, Seifedine and published by IGI Global. This book was released on 2012-09-30 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Prognostics predicts an industrial systems lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the systems performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the methods effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.

Process Monitoring and Predictive Analytics in Multi-stage Manufacturing Processes Using Partial Least Square Methods

Author: Swarup Guha

Publisher:

Published: 2015

Total Pages: 44

ISBN-13: 9781321735215

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The quality of products manufactured by a multistage process is often determined by complex interactions among various quality attributes of the multiple stages of the process. As a result, the quality characteristics of a stage are not only influenced by local variation at that stage but also by the propagated variations from the upstream. Therefore, accurate prediction of variables at different stages of operation of a multistage manufacturing process (MMP) is critical for diagnosis and prognostic purposes and ensuring the high quality of the product. At present, there is no generalized model or variation reduction technique available to effectively monitor and control the processes in MMP setup capable of handling large number of variables, as it is very common in MMP. This paper proposes a methodology which can be used for monitor processes at each stage using multivariate EWMA control chart and design a regression model for accurate prediction of the downstream variables using the partial least square (PLS) method. In addition, the paper presents an optimization technique to minimize overall system variance and a goodness of fit test for finding root causes behind an out of control signal. The proposed methods are validated by real data from an auto manufacturing company in Michigan and a natural gas distribution company in Texas.

Book Synopsis Process Monitoring and Predictive Analytics in Multi-stage Manufacturing Processes Using Partial Least Square Methods by : Swarup Guha

Download or read book Process Monitoring and Predictive Analytics in Multi-stage Manufacturing Processes Using Partial Least Square Methods written by Swarup Guha and published by . This book was released on 2015 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of products manufactured by a multistage process is often determined by complex interactions among various quality attributes of the multiple stages of the process. As a result, the quality characteristics of a stage are not only influenced by local variation at that stage but also by the propagated variations from the upstream. Therefore, accurate prediction of variables at different stages of operation of a multistage manufacturing process (MMP) is critical for diagnosis and prognostic purposes and ensuring the high quality of the product. At present, there is no generalized model or variation reduction technique available to effectively monitor and control the processes in MMP setup capable of handling large number of variables, as it is very common in MMP. This paper proposes a methodology which can be used for monitor processes at each stage using multivariate EWMA control chart and design a regression model for accurate prediction of the downstream variables using the partial least square (PLS) method. In addition, the paper presents an optimization technique to minimize overall system variance and a goodness of fit test for finding root causes behind an out of control signal. The proposed methods are validated by real data from an auto manufacturing company in Michigan and a natural gas distribution company in Texas.

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic

Author: Tongtong Liu

Publisher: Springer

Published: 2024-09-19

Total Pages: 0

ISBN-13: 9783031694820

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This volume 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 intelligent 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.

Book Synopsis Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic by : Tongtong Liu

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Tongtong Liu and published by Springer. This book was released on 2024-09-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume 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 intelligent 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.

From Prognostics and Health Systems Management to Predictive Maintenance 1

Author: Rafael Gouriveau

Publisher: John Wiley & Sons

Published: 2016-10-14

Total Pages: 187

ISBN-13: 1119371023

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This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.

Book Synopsis From Prognostics and Health Systems Management to Predictive Maintenance 1 by : Rafael Gouriveau

Download or read book From Prognostics and Health Systems Management to Predictive Maintenance 1 written by Rafael Gouriveau and published by John Wiley & Sons. This book was released on 2016-10-14 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.

Methods to Assess and Manage Process Safety in Digitalized Process System

Author: Faisal Khan

Publisher: Academic Press

Published: 2022-07-06

Total Pages: 670

ISBN-13: 0323988989

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Methods to Assess and Manage Process Safety in Digitalized Process System, Volume Six, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Chemical Process Safety series Provides the authority and expertise of leading contributors from an international board of authors

Book Synopsis Methods to Assess and Manage Process Safety in Digitalized Process System by : Faisal Khan

Download or read book Methods to Assess and Manage Process Safety in Digitalized Process System written by Faisal Khan and published by Academic Press. This book was released on 2022-07-06 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods to Assess and Manage Process Safety in Digitalized Process System, Volume Six, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Chemical Process Safety series Provides the authority and expertise of leading contributors from an international board of authors

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic

Author: Bingyan Chen

Publisher: Springer

Published: 2024-09-29

Total Pages: 0

ISBN-13: 9783031702341

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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.

Book Synopsis Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic by : Bingyan Chen

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Bingyan Chen and published by Springer. This book was released on 2024-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Author: Hamid Reza Karimi

Publisher: Elsevier

Published: 2021-06-14

Total Pages: 419

ISBN-13: 0128224738

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Book Synopsis Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by : Hamid Reza Karimi

Download or read book Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems written by Hamid Reza Karimi and published by Elsevier. This book was released on 2021-06-14 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Intelligent Diagnosis and Prognosis of Industrial Networked Systems

Author: Chee Khiang Pang

Publisher: CRC Press

Published: 2017-07-28

Total Pages: 332

ISBN-13: 1439840598

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In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications. The book includes portable tool sets for many industrial applications, including: Forecasting machine tool wear in industrial cutting machines Reduction of sensors and features for industrial fault detection and isolation (FDI) Identification of critical resonant modes in mechatronic systems for system design of R&D Probabilistic small-signal stability in large-scale interconnected power systems Discrete event command and control for military applications The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.

Book Synopsis Intelligent Diagnosis and Prognosis of Industrial Networked Systems by : Chee Khiang Pang

Download or read book Intelligent Diagnosis and Prognosis of Industrial Networked Systems written by Chee Khiang Pang and published by CRC Press. This book was released on 2017-07-28 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications. The book includes portable tool sets for many industrial applications, including: Forecasting machine tool wear in industrial cutting machines Reduction of sensors and features for industrial fault detection and isolation (FDI) Identification of critical resonant modes in mechatronic systems for system design of R&D Probabilistic small-signal stability in large-scale interconnected power systems Discrete event command and control for military applications The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.

Advanced Machining Processes of Metallic Materials

Author: Wit Grzesik

Publisher: Elsevier

Published: 2016-11-15

Total Pages: 610

ISBN-13: 0444637206

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Advanced Machining Processes of Metallic Materials: Theory, Modelling and Applications, Second Edition, explores the metal cutting processes with regard to theory and industrial practice. Structured into three parts, the first section provides information on the fundamentals of machining, while the second and third parts include an overview of the effects of the theoretical and experimental considerations in high-level machining technology and a summary of production outputs related to part quality. In particular, topics discussed include: modern tool materials, mechanical, thermal and tribological aspects of machining, computer simulation of various process phenomena, chip control, monitoring of the cutting state, progressive and hybrid machining operations, as well as practical ways for improving machinability and generation and modeling of surface integrity. This new edition addresses the present state and future development of machining technologies, and includes expanded coverage on machining operations, such as turning, milling, drilling, and broaching, as well as a new chapter on sustainable machining processes. In addition, the book provides a comprehensive description of metal cutting theory and experimental and modeling techniques, along with basic machining processes and their effective use in a wide range of manufacturing applications. The research covered here has contributed to a more generalized vision of machining technology, including not only traditional manufacturing tasks, but also potential (emerging) new applications, such as micro and nanotechnology. Includes new case studies illuminate experimental methods and outputs from different sectors of the manufacturing industry Presents metal cutting processes that would be applicable for various technical, engineering, and scientific levels Includes an updated knowledge of standards, cutting tool materials and tools, new machining technologies, relevant machinability records, optimization techniques, and surface integrity

Book Synopsis Advanced Machining Processes of Metallic Materials by : Wit Grzesik

Download or read book Advanced Machining Processes of Metallic Materials written by Wit Grzesik and published by Elsevier. This book was released on 2016-11-15 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Machining Processes of Metallic Materials: Theory, Modelling and Applications, Second Edition, explores the metal cutting processes with regard to theory and industrial practice. Structured into three parts, the first section provides information on the fundamentals of machining, while the second and third parts include an overview of the effects of the theoretical and experimental considerations in high-level machining technology and a summary of production outputs related to part quality. In particular, topics discussed include: modern tool materials, mechanical, thermal and tribological aspects of machining, computer simulation of various process phenomena, chip control, monitoring of the cutting state, progressive and hybrid machining operations, as well as practical ways for improving machinability and generation and modeling of surface integrity. This new edition addresses the present state and future development of machining technologies, and includes expanded coverage on machining operations, such as turning, milling, drilling, and broaching, as well as a new chapter on sustainable machining processes. In addition, the book provides a comprehensive description of metal cutting theory and experimental and modeling techniques, along with basic machining processes and their effective use in a wide range of manufacturing applications. The research covered here has contributed to a more generalized vision of machining technology, including not only traditional manufacturing tasks, but also potential (emerging) new applications, such as micro and nanotechnology. Includes new case studies illuminate experimental methods and outputs from different sectors of the manufacturing industry Presents metal cutting processes that would be applicable for various technical, engineering, and scientific levels Includes an updated knowledge of standards, cutting tool materials and tools, new machining technologies, relevant machinability records, optimization techniques, and surface integrity