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Deep learning for fault diagnosis of monoblock centrifugal pumps: a Hilbert–Huang transform approach
Prasshanth, C. V.
School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India.
Venkatesh, S. Naveen
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
ORCID iD:
0000-0002-4034-8859
Mahanta, Tapan K.
School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India.
Sakthivel, N. R.
Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Sugumaran, V.
School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India.
ORCID iD:
0000-0002-5323-6418
Show others and affiliations
2024 (English)
In:
International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348
Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
Springer Nature, 2024.
Keywords [en]
Monoblock centrifugal pump, Deep learning, Transfer learning, Hilbert–Huang transform, MEMS, Vibration signals
National Category
Computer Sciences
Research subject
Operation and Maintenance Engineering
Identifiers
URN:
urn:nbn:se:ltu:diva-109675
DOI:
10.1007/s13198-024-02447-z
ISI:
001303710400001
Scopus ID:
2-s2.0-85203002233
OAI: oai:DiVA.org:ltu-109675
DiVA, id:
diva2:1895496
Available from:
2024-09-05
Created:
2024-09-05
Last updated:
2024-11-20
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Venkatesh, S. Naveen
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