9 Sept 20241cites
Early artificial neural networks diagnosis using admittance model of a three-phase induction machine with inter-turn short-circuit faultPublisher siteInteractions, Machine Fault Diagnosis Techniques
Active, last published 2026
In electric motor design and analysis
M.
Abdelouhab
Scholar“Research focused on Electric Motor Design and Analysis and adjacent fields.”
Mohamed I University
Morocco
Claim Your ProfileMorocco3
H-index
32
Citations
M. has not officially claimed their profile. If you are M., claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
. Abdelouhab is a researcher working on Electric Motor Design and Analysis. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
M.'s work has been cited 32 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Electric Motor Design and Analysis×5Sensorless Control of Electric Motors×4Machine Fault Diagnosis Techniques×2Multilevel Inverters and Converters×2
04 · Where I am
Affiliations
Affiliation on published researchMohamed I University, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works1 Jan 2023Open access1cites
Input-output Feedback Linearization Control for SM-PMSMPublisher siteE3S Web of Conferences, Sensorless Control of Electric Motors
1 Jan 2023Open access1cites
Comparative study of field-oriented control of an induction machine with inter-turn short-circuit in healthy and faulty casesPublisher siteE3S Web of Conferences, Machine Fault Diagnosis Techniques
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you M.?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you