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Author: Institute of Nuclear Power Operations (U.S.)
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages :
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Author: Institute of Nuclear Power Operations (U.S.)
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages :
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Book Description
Author: National Research Council (U.S.). Committee on Analysis of Research Directions and Needs in U.S. Manufacturing
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 192
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Book Description
Annotation An analysis of new research directions that will lead to higher standards of product quality, responsiveness to customers, and process flexibility. a panel of experts from industry and academia evaluates current barriers to US competitiveness and examines how to improve flexibility, build up the technology base, and update performance measures. Annotation copyrighted by Book News, Inc., Portland, OR.
Author: Minghai Zheng
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
1. Want to ensure optimal equipment performance and availability in your business? Check out this must-read book on #AI-based predictive maintenance! 2. Don't risk downtime and lost revenue due to equipment failure! Discover how #AI can help you achieve optimal performance and availability with this insightful book. 3. Looking to boost your business's operational efficiency and productivity? Learn how #AI-based predictive maintenance can help with this essential read. 4. If you're in the manufacturing or industrial sector, you can't afford to miss this book on #AI-based predictive maintenance for achieving maximum equipment performance and availability. 5. Searching for ways to reduce maintenance costs and improve equipment uptime? Look no further than this comprehensive guide to #AI-based predictive maintenance. AI-based predictive maintenance is a rapidly growing field that involves the use of artificial intelligence (AI) algorithms to predict when equipment maintenance issues are likely to occur. By analyzing data from equipment sensors, AI-based predictive maintenance can identify potential problems before they become major issues, allowing businesses to take proactive measures to ensure optimal equipment performance and availability. The benefits of AI-based predictive maintenance are numerous, including reduced downtime and maintenance costs, increased equipment uptime and availability, and improved operational efficiency. However, implementing AI-based predictive maintenance requires a careful assessment of equipment and maintenance practices and consideration of ethical considerations and challenges associated with its use. This book, "AI-Based Predictive Maintenance: Ensuring Optimal Equipment Performance and Availability," explores the various techniques and strategies used in AI-based predictive maintenance, including condition-based maintenance, prognostics and health management, and integration into industrial systems. The book also discusses ethical considerations and challenges associated with the use of AI in predictive maintenance. By examining these topics, this book provides businesses with the knowledge and tools necessary to implement effective AI-based predictive maintenance programs. Whether you are a maintenance professional seeking to optimize your equipment performance or a business leader looking to gain a competitive edge, this book is an essential resource for anyone interested in the power of AI-based predictive maintenance. MingHai Zheng is the founder of zhengpublishing.com and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.
Author: Charles Edwin Dibsdale
Publisher: SAE International
ISBN: 0768099293
Category : Technology & Engineering
Languages : en
Pages : 140
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Book Description
Aerospace Predictive Maintenance: Fundamental Concepts, written by longtime practitioner Charles E. Dibsdale based in the UK, considers PdM a subset of Condition Based Maintenance (CBM), and must obey the same underlying rules and pre-requisites that apply to it. Yet, PdM is new because it takes advantage of emerging digital technology in sensing, acquiring data, communicating the data, and processing it. This capability can autonomously analyse the data and send alerts and advice to decision makers, potentially reducing through-life cost and improving safety. Aerospace Predictive Maintenance: Fundamental Concepts provides a history of maintenance, and how performance, safety and the environment make direct demands on maintenance to deliver more for less in multiple industries. It also covers Integrated Vehicle Health Management (IVHM) that aims to provide a platformcentric framework for PdM in the mobility domain. The book discusses PdM maturity, offering a context of the transformation of data through information and knowledge. Understanding some of the precepts of knowledge management provides a really useful and powerful perspective on PdM as an information system. On the other hand, Aerospace Predictive Maintenance: Fundamental Concepts also discusses disadvantages of PdM and shows how these may be addressed. One of the fundamental changes PdM implies is a shift from deterministic black-and-white thinking to more nuanced decision making informed by probabilities and uncertainty. Other concerns such as data management, privacy and ownership are tackled as well. Aerospace Predictive Maintenance: Fundamental Concepts covers additional technologies, such as the Industrial Internet of Things (IIOT) that will result in proliferation of cheap, wireless, ultra-low-power sensors, and will transform PdM into a more economical option. The book brings in the future possibilities of nano technology, which can be used for new sensors, micro-robotics for inspections and self-healing/repairing of systems which can be intergrated with PdM.
Author: R. Keith Mobley
Publisher: Elsevier
ISBN: 0080478697
Category : Technology & Engineering
Languages : en
Pages : 451
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Book Description
This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly. Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available. Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity. A comprehensive introduction to a system of monitoring critical industrial equipment Optimize the availability of process machinery and greatly reduce the cost of maintenance Provides the means to improve product quality, productivity and profitability of manufacturing and production plants
Author: Terry Wireman
Publisher: Industrial Press Inc.
ISBN: 9780831131845
Category : Business & Economics
Languages : en
Pages : 268
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Book Description
This unique reference utilizes techniques based on other management measurement systems, such as the balanced scorecard. It also presents a maturing of measurement technique for maintenance and asset maintenance and development techniques allowing companies to be competitive into the future.
Author: Jay Lee
Publisher: Springer Science & Business Media
ISBN: 1461553059
Category : Technology & Engineering
Languages : en
Pages : 421
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Book Description
In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.
Author: Society of Manufacturing Engineers
Publisher: Society of Manufacturing Engineers
ISBN: 0872634612
Category : Technology & Engineering
Languages : en
Pages : 130
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Book Description
You've heard the buzz about how TPM can minimize machine downtime while it maximizes productivity. Now you can discover exactly how to integrate a TPM program into your workshop to make its implementation a bottom-line success! This book explains the subtle but distinct difference between TPM as an equipment management strategy and not a maintenance management program. Being able to distinguish between these two mindsets can help your TPM program yield dramatic results. One reading of this practical new reference, can help you make the old saying 'good maintenance is good business' a reality.
Author: Fadi Alshakhshir
Publisher: CRC Press
ISBN: 1000418332
Category : Business & Economics
Languages : en
Pages : 269
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Book Description
Over recent years, many new technologies have been introduced to drive the digital transformation in the building maintenance industry. The current trend in digital evolution involves data-driven decision making which opens new opportunities for an energy centered maintenance model. Artificial Intelligence and Machine Learning are helping the maintenance team to get to the next level of maintenance intelligence to provide real-time early warning of abnormal equipment performance. This edition follows the same methodology as the First. It provides detailed descriptions of the latest technologies associated with Artificial Intelligence and Machine Learning which enable data-driven decision-making processes about the equipment’s operation and maintenance. Technical topics discussed in the book include: Different Maintenance Types and The Need for Energy Centered Maintenance The Centered Maintenance Model Energy Centered Maintenance Process Measures of Equipment and Maintenance Efficiency and Effectiveness Data-Driven Energy Centered Maintenance Model: Digitally Enabled Energy Centered Maintenance Tasks Artificial Intelligence and Machine Learning in Energy Centered Maintenance Model Capabilities and Analytics Rules Building Management System Schematics The book contains a detailed description of the digital transformation process of most of the maintenance inspection tasks as they move away from being manually triggered. The book is aimed at building operators as well as those building automation companies who are working continuously to digitalize building operation and maintenance procedures. The benefits are reductions in the equipment failure rate, improvements in equipment reliability, increases in equipment efficiency and extended equipment lifespan.
Author: BIKASH. BHADURY
Publisher: Allied Publishers
ISBN: 9788170238058
Category :
Languages : en
Pages : 344
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Book Description
