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Data Driven Energy Centered Maintenance - 2nd Edition of Energy Centered Maintenance: A Green Maintenance System (Hardcover, 2nd edition)
Loot Price: R4,075
Discovery Miles 40 750
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Data Driven Energy Centered Maintenance - 2nd Edition of Energy Centered Maintenance: A Green Maintenance System (Hardcover, 2nd edition)
Series: Energy Management
Expected to ship within 12 - 17 working days
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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.
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