Actions for Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps, A

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Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps, A / Maamar Ali Saud Al Tobi; Geraint Bevan; Kenneth Okedu

Author
Saud Al Tobi, Maamar Ali
Published
Melville, New York : AIP Publishing, 2022.
Physical Description
online resource (302 pages)
Additional Creators
Bevan, Geraint, Okedu, Kenneth
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Contents
Technical Background on Centrifugal Pumps.
Summary
This important book offers a foundation for use of artificial intelligence (AI) in fault diagnosis and classification for centrifugal pumps. It outlines methods for operators to identify and classify faults that are not easily detectable using traditional techniques like time domain and frequency domain methods. It brings together different AI approaches that are integrated with Wavelet Transform (WT) and Genetic Algorithm (GA) into a single reference-making advanced diagnostic methods accessible to engineers who may not have a computer science background. Covering a wide range of AI applications for mechanical systems, the book: -- Advances readers from description of the problem to application of AI methods for diagnostics -- Outlines ways for operators to identify and classify faults that are not easily detectable using traditional techniques -- Offers new data from a novel experimental rig not previously available Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps is an ideal reference for academics, engineers, and industry professionals working in plant and operations maintenance. Undergraduate and graduate students of artificial intelligence systems will find this an invaluable reference.
Subject(s)
ISBN
9780735423565 paperback
9780735423572 epub
9780735423589 epdf
View MARC record | catkey: 44282332