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.
Описание: This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
Описание: This volume provides a thorough introduction to transformer condition monitoring for the assessment of power transformers. The fundamental theories are discussed, in addition to the most up-to-date research in this rapidly changing field.
Автор: Lihui Wang; Robert X Gao Название: Condition Monitoring and Control for Intelligent Manufacturing ISBN: 1849965684 ISBN-13(EAN): 9781849965682 Издательство: Springer Рейтинг: Цена: 39182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering.
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