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Condition Based Maintenance For Complex Systems


Condition Based Maintenance For Complex Systems
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Complex System Maintenance Handbook


Complex System Maintenance Handbook
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Author : Khairy Ahmed Helmy Kobbacy
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-18

Complex System Maintenance Handbook written by Khairy Ahmed Helmy Kobbacy and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-18 with Technology & Engineering categories.


This utterly comprehensive work is thought to be the first to integrate the literature on the physics of the failure of complex systems such as hospitals, banks and transport networks. It has chapters on particular aspects of maintenance written by internationally-renowned researchers and practitioners. This book will interest maintenance engineers and managers in industry as well as researchers and graduate students in maintenance, industrial engineering and applied mathematics.



Condition Based Maintenance For Complex Systems


Condition Based Maintenance For Complex Systems
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Author : Minou Catharina Anselma Olde Keizer
language : en
Publisher:
Release Date : 2016

Condition Based Maintenance For Complex Systems written by Minou Catharina Anselma Olde Keizer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.




Reliability And Maintenance Modeling Of Complex Systems Under Multiple Dependent Competing Failure Processes


Reliability And Maintenance Modeling Of Complex Systems Under Multiple Dependent Competing Failure Processes
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Author : Lei Jiang
language : en
Publisher:
Release Date : 2014

Reliability And Maintenance Modeling Of Complex Systems Under Multiple Dependent Competing Failure Processes written by Lei Jiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Industrial engineering categories.


To achieve commercialization and wide acceptance in industrial application, reliability analysis for complex evolving systems with multiple failure processes becomes increasingly important. The common assumption in analyzing reliability of such systems is that these multiple failure processes are independent, which may lead to the miscalculation of system reliability. To assist engineers with design, manufacturing and maintenance of complex systems, new reliability models that account for the dependence among multiple failure processes need to be developed to accurately predict the lifetime of these systems. This research aims to develop probabilistic reliability models and analytical tools for systems with dependent competing failure processes, and explore cost-effective maintenance policies based on our reliability analysis. Different dependent patterns among competing failure processes are explored for single-component systems. When the arrival of external shocks diminishes the strength of material, we propose reliability and maintenance models for systems with a shifting, dependent hard failure threshold. When shocks impact the degradation process in different manners, we model zoned shock effects on stochastic degradation, and develop reliability functions for such dependent stochastic failure processes. Case studies of micro-electro-mechanical systems and stent devices are used to demonstrate our models, where Monte Carlo importance sampling is used to estimate system reliability. We extend our models on single-component systems to a broader range of multi-component systems experiencing multiple failure processes, which presents more challenges on modeling the interaction and dependence among different components. A new reliability model and a unique condition-based maintenance model are proposed for complex systems with dependent components subject to respective degradation processes, and the dependence among components is established through environmental factors. Another condition-based maintenance policy is developed for power transformers using Markov decision processes, where a power transformer with multiple components is modeled as a multi-state system. The proposed reliability and maintenance models can be implemented to address the critical quality and reliability problems of evolving devices and many other systems with multiple dependent competing failure processes and multiple dependent components. The developed models and analytical tools can facilitate product design, manufacturing and maintenance, and enhance system reliability and availability.



Condition Based Maintenance And Machine Diagnostics


Condition Based Maintenance And Machine Diagnostics
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Author : J.H. Williams
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-07-31

Condition Based Maintenance And Machine Diagnostics written by J.H. Williams and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-07-31 with Technology & Engineering categories.


Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for instance. In manufacturing, its application has been somewhat muted. This text attempts to present the fundamental justification for condition-based maintenance together with enough analytic and practical guidance for its implementation. There are chapters on the two dominant techniques of vibration and debris analysis. Also, basic diagnostic methods are given along with a presentation of the systems approach to condition monitoring. A detailed case study shows the practical application of the techniques presented. Finally, future developments in the use of expert systems and A1 techniques are highlighted. Condition-based Maintenance and Machine Diagnostics gives details of both off-the-shelf solutions and analytic diagnostic techniques to enable a bespoke solution to be developed. It is suitable for senior undergraduates and postgraduates in the field of manufacturing and industrial engineering, and it furnishes managers in industry with sufficient information to judge the usefulness of the techniques for their particular application.



Recent Advances In Maintenance And Infrastructure Management


Recent Advances In Maintenance And Infrastructure Management
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Author : Roberto Davide Cigolini
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-18

Recent Advances In Maintenance And Infrastructure Management written by Roberto Davide Cigolini and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-18 with Technology & Engineering categories.


Recent Advances in Maintenance and Infrastructure Management is a collection of papers highlighting the state of the art in maintenance of large structures and management of infrastructures. The papers selected in this book are written by international experts from academia and industry, and were presented during the past three International Conference on Maintenance Management (MM Conferences) held from 2005 to 2007 and organized by CNIM (Italian National Committee for Maintenance). The selected papers are categorized into four thematic areas: 1. reliability and maintenance; 2. mathematical modeling and metrics for maintenance; 3. maintenance management and organization, and; 4. facilities management and contracting. The papers cover topics ranging from embedded sensors for diagnostics of structures to organizational issues related to effective maintenance planning. Recent Advances in Maintenance and Infrastructure Management provides readers with a snapshot of the latest developments in the tools and techniques used to conduct maintenance of complex infrastructures and systems. The book will be of interest to researchers and practitioners in academia and industry involved in planning and deployment of maintenance operations. Additionally, this can serve as a reference text for advanced courses in operations management, and structural health monitoring.



Handbook Of Condition Monitoring


Handbook Of Condition Monitoring
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Author : B. K. N. Rao
language : en
Publisher: Elsevier
Release Date : 1996

Handbook Of Condition Monitoring written by B. K. N. Rao and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.


Hardbound. The need to reduce costs has generated a greater interest in condition monitoring in recent years. The Handbook of Condition Monitoring gives an extensive description of available products and their usage making it a source of practical guidance supported by basic theory.This handbook has been designed to assist individuals within companies in the methods and devices used to monitor the condition of machinery and products.



Online Maintenance Prioritization Via Monte Carlo Tree Search And Case Based Reasoning In Complex Manufacturing Systems


Online Maintenance Prioritization Via Monte Carlo Tree Search And Case Based Reasoning In Complex Manufacturing Systems
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Author : Michael L. Hoffman
language : en
Publisher:
Release Date : 2021

Online Maintenance Prioritization Via Monte Carlo Tree Search And Case Based Reasoning In Complex Manufacturing Systems written by Michael L. Hoffman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Maintenance serves a critical role in manufacturing systems by ensuring that machines and other assets remain in a productive working condition. The primary objective of maintenance optimization is to determine when to conduct maintenance and which machines should be maintained. Recent advances in industrial maintenance have sought to use online information obtained from sources such as machine sensors and manufacturing execution system software to provide real-time decision support. Such predictive maintenance strategies combine abundant online manufacturing data with techniques in simulation, planning, and artificial intelligence to make effective maintenance decisions and support the overall performance of the system. In this dissertation we examine several challenges associated with adopting real-time maintenance decision support in complex manufacturing systems. One such challenge is that of modeling complex machine configurations that are often found in modern manufacturing systems. It can be difficult or impossible to model the behavior of these systems analytically without imposing unrealistic simplifying assumptions. One of the goals of this work is therefore to propose a method of maintenance optimization and planning that is generalizable to arbitrarily configured systems. We also introduce a discrete-event simulation package that has been developed as a part of this work and is capable of modeling these systems of interest. Additionally, real-world manufacturing systems are typically subject to constraints on available maintenance resources which limits the number of maintenance jobs that may be conducted simultaneously. In these settings, the maintenance planner must determine how to prioritize competing maintenance activities and allocate these limited resources throughout the system. This work addresses these challenges by proposing a simulation-based maintenance optimization and planning approach to seek an optimal maintenance policy and prioritize maintenance in complex systems. We formulate condition-based maintenance policy optimization as a discrete optimization via simulation problem and seek a solution using the Gaussian Markov Improvement Algorithm and a genetic algorithm. The result is a degradation threshold for each machine in the system that determines when a machine should request maintenance. To overcome the problem of capacity-constrained maintenance resources, we first propose a dynamic priority scheduling heuristic that aims to minimize throughput disruption due to downtime for maintenance. We then improve upon this scheduling heuristic by employing a reinforcement learning approach to seek the best maintenance action in each state of the system. We use Monte Carlo tree search to progressively build a search tree within the system state space and evaluate alternative sequences of actions in order to find that which maximizes the expected reward. We demonstrate that our proposed method of online prioritization results in improved system-level performance when compared to commonly used maintenance prioritization methods. Furthermore, we apply a case-based reasoning framework to retain and reuse relevant experience that improves the decision-making efficiency over time. In addition to improved system productivity, the proposed approach results in reduced time needed to identify optimal maintenance actions which is particularly important when critical maintenance decisions must be made quickly.



The Maintenance Management Framework


The Maintenance Management Framework
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Author : Adolfo Crespo Márquez
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-10

The Maintenance Management Framework written by Adolfo Crespo Márquez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-10 with Computers categories.


“The Maintenance Management Framework” describes and reviews the concept, process and framework of modern maintenance management of complex systems; concentrating specifically on modern modelling tools (deterministic and empirical) for maintenance planning and scheduling. It will be bought by engineers and professionals involved in maintenance management, maintenance engineering, operations management, quality, etc. as well as graduate students and researchers in this field.



Applying Materials State Awareness To Condition Based Maintenance And System Life Cycle Management


Applying Materials State Awareness To Condition Based Maintenance And System Life Cycle Management
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2016-05-25

Applying Materials State Awareness To Condition Based Maintenance And System Life Cycle Management written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-25 with Technology & Engineering categories.


In August 2014, the committee on Defense Materials Manufacturing and Infrastructure convened a workshop to discuss issues related to applying materials state awareness to condition-based maintenance and system life cycle management. The workshop was structured around three focal topics: (1) advances in metrology and experimental methods, (2) advances in physics-based models for assessment, and (3) advances in databases and diagnostic technologies. This report summarizes the discussions and presentations from this workshop.



Reliability And Maintenance Of Complex Systems


Reliability And Maintenance Of Complex Systems
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Author : Süleyman Özekici
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Reliability And Maintenance Of Complex Systems written by Süleyman Özekici and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.


Complex high-technology devices are in growing use in industry, service sectors, and everyday life. Their reliability and maintenance is of utmost importance in view of their cost and critical functions. This book focuses on this theme and is intended to serve as a graduate-level textbook and reference book for scientists and academics in the field. The chapters are grouped into five complementary parts that cover the most important aspects of reliability and maintenance: stochastic models of reliability and maintenance, decision models involving optimal replacement and repair, stochastic methods in software engineering, computational methods and simulation, and maintenance management systems. This wide range of topics provides the reader with a complete picture in a self-contained volume.