Methodologies And Techniques For Advanced Maintenance
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| Author | : Lorenzo Fedele |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 228 |
| Release | : 2011-01-06 |
| Genre | : Business & Economics |
| ISBN | : 0857291033 |
The management of technical plants for productivity and safety is generally a complex activity, particularly when many plants in one territory are affected, quality guarantees and cost results are required, and the technology involved is heterogeneous and innovative. To enable readers to manage technical plants efficiently, despite the above complications, Methodologies and Techniques for Advanced Maintenance presents theories, methodologies and practical tools for the realization of an intelligent maintenance management system for distant monitoring. It also covers the development and running of a remote control center. The so-called granted availability management system (GrAMS) was conceived to enable organizations involved in technical-industrial plant management to move towards “well known availability” and “zero failures” management. In particular, Methodologies and Techniques for Advanced Maintenance deals with the diagnostic aspects and safety levels of technical plants (such as elevators, thermo-technical plants, etc.). The author also discusses the usage of ad hoc designed software analysis tools based on neural networks and reliability indicators. Methodologies and Techniques for Advanced Maintenance is a useful text for practitioners and researchers in maintenance and facilities. Its application spans industrial, plant, technological, infrastructure and civil fields.
| Author | : Adolfo Crespo Márquez |
| Publisher | : Springer |
| Total Pages | : 473 |
| Release | : 2017-07-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3319580450 |
This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
| Author | : Edwin Lughofer |
| Publisher | : Springer |
| Total Pages | : 564 |
| Release | : 2019-02-28 |
| Genre | : Technology & Engineering |
| ISBN | : 3030056457 |
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
| Author | : Darcy Brooker |
| Publisher | : Artech House |
| Total Pages | : 203 |
| Release | : 2020-11-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1630818283 |
This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers.
| Author | : United States. Congress. House. Committee on Appropriations |
| Publisher | : |
| Total Pages | : 848 |
| Release | : 1975 |
| Genre | : |
| ISBN | : |
| Author | : Akhyar |
| Publisher | : Springer Nature |
| Total Pages | : 525 |
| Release | : 2021-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 9811607362 |
This book gathers a selection of peer-reviewed papers presented at the 2nd International Conference on Experimental and Computational Mechanics in Engineering (ICECME 2020), held as a virtual conference and organized by Universitas Syiah Kuala, Banda Aceh, Indonesia, on 13–14 October 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in computational mechanics, metallurgy and material science, energy systems, manufacturing processing systems, industrial and system engineering, biomechanics, artificial intelligence, micro/nano-engineering, micro-electro-mechanical system, machine learning, mechatronics, and engineering design. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of experimental and computational mechanics.
| Author | : United States. Congress. Senate. Committee on Appropriations |
| Publisher | : |
| Total Pages | : 1162 |
| Release | : 1975 |
| Genre | : |
| ISBN | : |
| Author | : United States. Congress. House. Committee on Appropriations. Subcommittee on Dept. of Transportation and Related Agencies Appropriations |
| Publisher | : |
| Total Pages | : 860 |
| Release | : 1975 |
| Genre | : |
| ISBN | : |
| Author | : United States. Congress. Senate. Committee on Appropriations |
| Publisher | : |
| Total Pages | : 970 |
| Release | : 1976 |
| Genre | : |
| ISBN | : |
| Author | : Awasthi, Anjali |
| Publisher | : IGI Global |
| Total Pages | : 674 |
| Release | : 2019-09-27 |
| Genre | : Business & Economics |
| ISBN | : 1522595724 |
Businesses must create initiatives and adopt eco-friendly practices in order to adhere to the sustainability goals of a globalized world. Recycling, product service systems, and green manufacturing are just a few methods businesses use within a sustainable supply chain. However, these tools and techniques must also ensure business growth in order to remain relevant in an environmentally-conscious world. The Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains provides interdisciplinary approaches to sustainable supply chain management through the optimization of system performance and development of new policies, design networks, and effective reverse logistics practices. Featuring research on topics such as industrial symbiosis, green collaboration, and clean transportation, this book is ideally designed for policymakers, business executives, warehouse managers, operations managers, suppliers, industry professionals, sustainability developers, decision makers, students, academicians, practitioners, and researchers seeking current research on reducing the environmental impacts of businesses via sustainable supply chain planning.
