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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants
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Condition Monitoring of Rotating Electrical Machines (Hardcover, 3rd edition)
Loot Price: R4,384
Discovery Miles 43 840
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Condition Monitoring of Rotating Electrical Machines (Hardcover, 3rd edition)
Series: Energy Engineering
Expected to ship within 12 - 17 working days
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Condition monitoring of engineering plants has increased in
importance as engineering processes have become increasingly
automated. However, electrical machinery usually receives attention
only at infrequent intervals when the plant or the electricity
generator is shut down. The economics of industry have been
changing, placing ever more emphasis on the importance of reliable
operation of the plants. Electronics and software in
instrumentation, computers, and digital signal processors have
improved our ability to analyse machinery online. Condition
monitoring is now being applied to a range of systems from
fault-tolerant drives of a few hundred watts to machinery of a few
hundred MW in major plants. This book covers a large range of
machines and their condition monitoring. This 3rd edition builds on
the 2nd edition through a major revision, update of chapters and a
comprehensive list of references & standards. Permanent magnet,
switched reluctance and other types of machines are now covered, as
well as variable speed drive machines and off-line techniques.
Contents cover an introduction to condition monitoring; rotating
electrical machines; electrical machine construction, operation and
failure modes; reliability of machines and typical failure rates;
signal processing and instrumentation requirements; on-line
temperature monitoring; on-line chemical monitoring; on-line
vibration monitoring; on-line current, flux and power monitoring;
on-line partial discharge (PD) electrical monitoring; on-line
variable speed drive machine monitoring; off-line monitoring;
condition-based maintenance and asset management; application of
artificial intelligence techniques to CM; and safety, training and
qualification.
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