Artificial intelligence methods for fault diagnosis in centrifugal pumps:
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 do...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Melville, New York
AIP Publishing
2022
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| Schlagworte: | |
| Online-Zugang: | UBT01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Technical Background on Centrifugal Pumps |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9780735423596 9780735423589 9780735423572 |
| DOI: | 10.1063/9780735423596 |
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| id | DE-604.BV049603136 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:35:00Z |
| indexdate | 2024-07-10T10:11:52Z |
| institution | BVB |
| isbn | 9780735423596 9780735423589 9780735423572 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034947519 |
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| publishDate | 2022 |
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| publisher | AIP Publishing |
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| spelling | Saud Al Tobi, Maamar Ali Verfasser aut Artificial intelligence methods for fault diagnosis in centrifugal pumps Maamar Ali Saud Al Tobi, Geraint Bevan, Kenneth Okedu Melville, New York AIP Publishing 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Technical Background on Centrifugal Pumps 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 Artificial intelligence / Geophysical applications Intelligence artificielle / Applications géophysiques TECHNOLOGY & ENGINEERING / Machinery TECHNOLOGY & ENGINEERING / Measurement TECHNOLOGY & ENGINEERING / Materials Science/General Bevan, Geraint Verfasser aut Okedu, Kenneth Verfasser (DE-588)122372297X aut Erscheint auch als Druck-Ausgabe 978-0-7354-2356-5 https://doi.org/10.1063/9780735423596 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Saud Al Tobi, Maamar Ali Bevan, Geraint Okedu, Kenneth Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title | Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title_auth | Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title_exact_search | Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title_exact_search_txtP | Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title_full | Artificial intelligence methods for fault diagnosis in centrifugal pumps Maamar Ali Saud Al Tobi, Geraint Bevan, Kenneth Okedu |
| title_fullStr | Artificial intelligence methods for fault diagnosis in centrifugal pumps Maamar Ali Saud Al Tobi, Geraint Bevan, Kenneth Okedu |
| title_full_unstemmed | Artificial intelligence methods for fault diagnosis in centrifugal pumps Maamar Ali Saud Al Tobi, Geraint Bevan, Kenneth Okedu |
| title_short | Artificial intelligence methods for fault diagnosis in centrifugal pumps |
| title_sort | artificial intelligence methods for fault diagnosis in centrifugal pumps |
| url | https://doi.org/10.1063/9780735423596 |
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