Data Driven Energy Centered Maintenance


Data Driven Energy Centered Maintenance
DOWNLOAD

Download Data Driven Energy Centered Maintenance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Driven Energy Centered Maintenance book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Data Driven Energy Centered Maintenance


Data Driven Energy Centered Maintenance
DOWNLOAD

Author : Fadi Alshakhshir
language : en
Publisher: CRC Press
Release Date : 2021-07-20

Data Driven Energy Centered Maintenance written by Fadi Alshakhshir and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with Business & Economics categories.


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.



Energy Centered Maintenance


Energy Centered Maintenance
DOWNLOAD

Author : Marvin T. Howell
language : en
Publisher: CRC Press
Release Date : 2020-11-26

Energy Centered Maintenance written by Marvin T. Howell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Science categories.


Energy Centered Maintenance proves a detailed description of how to implement Energy Centered Maintenance (ECM) at any organization. It includes a new six-step technical process with detailed instructions of each of these steps explained with clear examples. Areas covered include preventative maintenance, predictive maintenance and reliability centered maintenance. ECM uses energy consumption excesses or energy waste as the primary criterion for determining specific maintenance or repair needs. Therefore, the primary purpose of this book is to provide strategies to reduce energy use by identifying equipment or items that can become energy hogs while still performing their function and prevent that from occurring. The primary reasons organizations need ECM is due to poor maintenance of energy-using systems and energy losses from motors not turning off when they should. The book includes ECM for electrical, mechanical, building transportation, HVAC, fire-fighting, water supply, drainage and storm water management systems. In some cases, ECM in data centers can help reduce energy consumption by as much as 30%. The six-step process detailed in this text will enable any organization to implement ECM in an orderly, cost effective manner thus improving your equipment and machines, lowering your energy consumption and helping save the planet.



Energy Centered Management


Energy Centered Management
DOWNLOAD

Author : Marvin T. Howell
language : en
Publisher: CRC Press
Release Date : 2020-12-17

Energy Centered Management written by Marvin T. Howell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Business & Economics categories.


This book provides organizations with a guide to planning, developing, and implementing an energy reduction and management program. It is specially designed to achieve energy reduction deployment including top management for all employees and onsite contractors. Energy reduction deployment (ERD) can be implemented by itself and render significant savings; however, for even greater savings, this book shows how to implement energy centered management systems (ECMS) which can be in congruence with ISO 50001. This book assists in the hunt for energy waste and is designed to thoroughly cover ECMS plus addresses what additions are necessary to have ECMS conform to ISO 50001 Energy Management System (EnMS). It provides a checklist and information on how to perform an internal audit or self-inspection and discusses how to create an energy awareness organization culture.



Reliability Centered Maintenance


Reliability Centered Maintenance
DOWNLOAD

Author : John Moubray
language : en
Publisher: Industrial Press Inc.
Release Date : 2001

Reliability Centered Maintenance written by John Moubray and has been published by Industrial Press Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.


Completely reorganised and comprehensively rewritten for its second edition, this guide to reliability-centred maintenance develops techniques which are practised by over 250 affiliated organisations worldwide.



Predictive Maintenance In Dynamic Systems


Predictive Maintenance In Dynamic Systems
DOWNLOAD

Author : Edwin Lughofer
language : en
Publisher: Springer
Release Date : 2019-02-28

Predictive Maintenance In Dynamic Systems written by Edwin Lughofer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.


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.



Energy Internet


Energy Internet
DOWNLOAD

Author : Ahmed F Zobaa
language : en
Publisher: Springer Nature
Release Date : 2020-06-17

Energy Internet written by Ahmed F Zobaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Technology & Engineering categories.


This textbook is the first of its kind to comprehensively describe the energy Internet, a vast network that efficiently supplies electricity to anyone anywhere and is an internet based wide area network for information and energy fusion. The chapters are organized into five parts: Architecture and Design, Energy Switching and Routing, Information and Communication, Energy Management Systems and Energy Market and Trading, and capture the spectrum of this exponential transformation, while also presenting the plethora of open problems that this transformation poses for researchers from mixed academic backgrounds. The scope includes key technologies on distributed energy sources, microgrids, energy storage, solar and wind energy, power grid, smart grid, power quality, power electronics, data centers, distributed computing and networking, cloud computing and big data, and software-defined networking. The book presents the basic principles of energy internet and emphasizes the current research trends in the field of energy Internet at an advanced level. It includes instructor materials, case-studies, and worked examples throughout. This is an ideal resource for students in advanced graduate-level courses and special topics in energy, information and control systems, and is a useful tool for utility engineers who seek an intuitive understanding of the emerging applications of energy Internet.



Handbook Of Research On Industrial Advancement In Scientific Knowledge


Handbook Of Research On Industrial Advancement In Scientific Knowledge
DOWNLOAD

Author : Diaz, Vicente González-Prida
language : en
Publisher: IGI Global
Release Date : 2019-01-18

Handbook Of Research On Industrial Advancement In Scientific Knowledge written by Diaz, Vicente González-Prida and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-18 with Technology & Engineering categories.


In a society that praises and promotes technological advancement, it becomes increasingly essential to review the effects of such rapid technological growth. New high-tech advances need to be examined to determine what they mean to science, society, and industry along with the benefits and challenges they present. The Handbook of Research on Industrial Advancement in Scientific Knowledge addresses the intersection of technology and science where engineering considerations, mathematical approaches, and management tools provide a better understanding and awareness of Industry 4.0, while also taking into account the impact on current society. This publication identifies methodologies and applications related to decision making, risk and uncertainty, and design and development not only on scientific and industrial topics but also on social and ethical matters. It is designed for engineers, entrepreneurs, academicians, researchers, managers, and students.



Big Data Driven Supply Chain Management


Big Data Driven Supply Chain Management
DOWNLOAD

Author : Nada R. Sanders
language : en
Publisher: Pearson Education
Release Date : 2014-05-07

Big Data Driven Supply Chain Management written by Nada R. Sanders and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Business & Economics categories.


Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.



An Introduction To Predictive Maintenance


An Introduction To Predictive Maintenance
DOWNLOAD

Author : R. Keith Mobley
language : en
Publisher: Elsevier
Release Date : 2002-10-24

An Introduction To Predictive Maintenance written by R. Keith Mobley and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-24 with Science categories.


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



Iot Streams For Data Driven Predictive Maintenance And Iot Edge And Mobile For Embedded Machine Learning


Iot Streams For Data Driven Predictive Maintenance And Iot Edge And Mobile For Embedded Machine Learning
DOWNLOAD

Author : Joao Gama
language : en
Publisher: Springer Nature
Release Date : 2021-01-09

Iot Streams For Data Driven Predictive Maintenance And Iot Edge And Mobile For Embedded Machine Learning written by Joao Gama and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-09 with Computers categories.


This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.