Stochastic Reliability and Maintenance Modeling, Tadashi Dohi; Toshio Nakagawa
Автор: Gallager Название: Stochastic Processes ISBN: 1107039754 ISBN-13(EAN): 9781107039759 Издательство: Cambridge Academ Рейтинг: Цена: 11246.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.
Автор: Maxim Finkelstein; Ji Hwan Cha Название: Stochastic Modeling for Reliability ISBN: 1447150279 ISBN-13(EAN): 9781447150275 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on shocks modelling, burn-in and heterogeneous populations, this book naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors.
Автор: Maxim Finkelstein; Ji Hwan Cha Название: Stochastic Modeling for Reliability ISBN: 1447158555 ISBN-13(EAN): 9781447158554 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on shocks modelling, burn-in and heterogeneous populations, this book naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors.
Consider a Viable and Cost-Effective Platform for the Industries of the Future (IOF)
Benefit from improved safety, performance, and product deliveries to your customers. Achieve a higher rate of equipment availability, performance, product quality, and reliability. Integrated Reliability: Condition Monitoring and Maintenance of Equipment incorporates reliable engineering and mathematical modeling tohelp you move toward sustainable development in reliability condition monitoring and maintenance. This text introduces a cost-effective integrated reliability growth monitor, integrated reliability degradation monitor, technological inheritance coefficient sensors, and a maintenance tool that supplies real-time information for predicting and preventing potential failures of manufacturing processes and equipment.
The author highlights five key elements that are essential to any improvement program: improving overall equipment and part effectiveness, quality, and reliability; improving process performance with maintenance efficiency and effectiveness; training all employees involved; including operators in the daily maintenance and upkeep of the equipment; and implementing early equipment management and maintenance prevention design. He offers a sustainable solution with integrated reliability condition monitoring and maintenance of manufacturing processes, parts, and equipment in the IOFs with a technological inheritance model-based program.
This book contains 15 chapters that include details on:
Improving the material-part-equipment system life cycle, reliability conditions, and manufacturing process productivity for wear, corrosion, and temperature resistance applications
Maximizing the component and system reliability growth of parts and equipment
Minimizing reliability degradation within the framework of a condition-based maintenance
Analyzing the reliability degradation, wear, and other competing failure modes of nickel-based hard alloy-coated part mating surface with a technological inheritance model-based program
Introducing a cost-effective integrated reliability monitor and maintenance strategy with a technological inheritance model-based software program
Integrated Reliability: Condition Monitoring and Maintenance of Equipment addresses potential failures from an asset manager, maintenance user, and operator's standpoint, and highlights the solutions to common failures and reliability problems for equipment in the IOFs.
Автор: Toshio Nakagawa Название: Advanced Reliability Models and Maintenance Policies ISBN: 1849967725 ISBN-13(EAN): 9781849967723 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a survey of new research topics in reliability theory and optimization techniques in reliability engineering. The author is considered the world leader in maintenance reliability engineering, having worked in this area for over thirty years.
Автор: John Moubray Название: Reliability-Centered Maintenance, ISBN: 0750633581 ISBN-13(EAN): 9780750633581 Издательство: Elsevier Science Рейтинг: Цена: 9599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text gives a practical explanation of what reliability-centred maintenance is and how it is efectively applied. The plant-based approach of the book makes it well-suited for use in industrial training schemes and centres of higher technical education.
Автор: Ricky Smith Название: Rules of Thumb for Maintenance and Reliability Engineers, ISBN: 0750678623 ISBN-13(EAN): 9780750678629 Издательство: Elsevier Science Рейтинг: Цена: 15999.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Helps engineers instill knowledge on a daily basis, to do their jobs and to maintain and assure reliable equipment to help reduce costs. This book includes graphs, charts, calculations, tables, curves, and explanations, and basic rules of thumb that engineers working with equipment will need for basic maintenance and reliability of that equipment.
Автор: Sifonte Название: Reliability Centered Maintenance - ISBN: 1498785174 ISBN-13(EAN): 9781498785174 Издательство: Taylor&Francis Рейтинг: Цена: 7042.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Reliability Centered Maintenance - Reengineered: Practical Optimization of the RCM Process with RCM-R(R) provides an optimized approach to a well-established and highly successful method used for determining failure management policies for physical assets. It makes the original method that was developed to enhance flight safety far more useful in a broad range of industries where asset criticality ranges from high to low. RCM-R(R) is focused on the science of failures and what must be done to enable long-term sustainably reliable operations. If used correctly, RCM-R(R) is the first step in delivering fewer breakdowns, more productive capacity, lower costs, safer operations and improved environmental performance. Maintenance has a huge impact on most businesses whether its presence is felt or not. RCM-R(R) ensures that the right work is done to guarantee there are as few nasty surprises as possible that can harm the business in any way.
RCM-R(R) was developed to leverage on RCM's original success at delivering that effectiveness while addressing the concerns of the industrial market. RCM-R(R) addresses the RCM method and shortfalls in its application -- It modifies the method to consider asset and even failure mode criticality so that rigor is applied only where it is truly needed. It removes (within reason) the sources of concern about RCM being overly rigorous and too labor intensive without compromising on its ability to deliver a tailored failure management program for physical assets sensitive to their operational context and application. RCM-R(R) also provides its practitioners with standard based guidance for determining meaningful failure modes and causes facilitating their analysis for optimum outcome.
Includes extensive review of the well proven RCM method and what is needed to make it successful in the industrial environment
Links important elements of the RCM method with relevant International Standards for risk management and failure management
Enhances RCM with increased emphasis on statistical analysis, bringing it squarely into the realm of Evidence Based Asset Management
Includes extensive, experience based advice on implementing and sustaining RCM based failure management programs
Описание: Reliability Based Aircraft Maintenance Optimization and Applications presents flexible and cost-effective maintenance schedules for aircraft structures, particular in composite airframes. By applying an intelligent rating system, and the back-propagation network (BPN) method and FTA technique, a new approach was created to assist users in determining inspection intervals for new aircraft structures, especially in composite structures. . This book also discusses the influence of Structure Health Monitoring (SHM) on scheduled maintenance. An integrated logic diagram establishes how to incorporate SHM into the current MSG-3 structural analysis that is based on four maintenance scenarios with gradual increasing maturity levels of SHM. The inspection intervals and the repair thresholds are adjusted according to different combinations of SHM tasks and scheduled maintenance. . This book provides a practical means for aircraft manufacturers and operators to consider the feasibility of SHM by examining labor work reduction, structural reliability variation, and maintenance cost savings.
Автор: Dohi Tadashi Название: Stochastic Reliability and Maintenance Modeling ISBN: 144714970X ISBN-13(EAN): 9781447149705 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In honor of the work of Professor Shunji Osaki, this book provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. It shows readers how to apply the theory to computer and communication systems.
Автор: Shunji Osaki Название: Stochastic Models in Reliability and Maintenance ISBN: 3642077250 ISBN-13(EAN): 9783642077258 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes.
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