Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

Maamar  Ali Saud Al Tobi; Geraint Bevan; Kenneth Okedu

doi:10.1063/9780735423596

Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

Maamar Ali Saud Al Tobi^*, Geraint Bevan, Kenneth Okedu

^*Corresponding author for this work

Instrumentation and Control

Research output: Book/Report › Book

Abstract

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

Original language	English
Publisher	American Institute of Physics
Number of pages	302
ISBN (Electronic)	9780735423596
ISBN (Print)	9780735423565
DOIs	https://doi.org/10.1063/9780735423596
Publication status	Published - Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.1063/9780735423596

Cite this

@book{51835355a9984e20aab1391ad5c84798,

title = "Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps",

abstract = "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",

author = "{Ali Saud Al Tobi}, Maamar and Geraint Bevan and Kenneth Okedu",

year = "2022",

month = jul,

doi = "10.1063/9780735423596",

language = "English",

isbn = "9780735423565",

publisher = "American Institute of Physics",

address = "United States",

}

TY - BOOK

T1 - Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

AU - Ali Saud Al Tobi, Maamar

AU - Bevan, Geraint

AU - Okedu, Kenneth

PY - 2022/7

Y1 - 2022/7

N2 - 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

AB - 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

U2 - 10.1063/9780735423596

DO - 10.1063/9780735423596

M3 - Book

SN - 9780735423565

BT - Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

PB - American Institute of Physics

ER -

Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

Abstract

UN SDGs

Documents and Links

Fingerprint

Cite this