Assessment of a 40-year-old induction motor using hybrid diagnostic and AI-based predictive techniques.

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Bibliographic Details
Title: Assessment of a 40-year-old induction motor using hybrid diagnostic and AI-based predictive techniques.
Authors: Butukuri KR; Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, 502284, Telangana, India., Giri NC; Department of Electronics and Communication Engineering, Centurion University of Technology and Management, Jatni, 752050, Odisha, India. girinimay1@gmail.com., Yemula PK; Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, 502284, Telangana, India., Penubaka RKKR; Department of Electrical and Electronics Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, 500075, Telangana, India., Vennila H; Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, 629180, India., Das SR; Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. soumya.das@manipal.edu.
Source: Scientific reports [Sci Rep] 2026 Mar 17; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-44319-5