Biomedical Engineering and Healthcare Technology Research Centre

Faculty of Health Sciences

Websitehttps://www.uj.ac.za/faculties/health-sciences/biomedical-engineering-and-healthcare-technology

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 14 Life Below Water
SDG 15 Life on Land
SDG 17 Partnerships for the Goals

Dr Nkosinathi Madushele
- nmadusheleuj.acza
- Biomedical Engineering and Healthcare Technology Research Centre - Senior Lecturer & Co-Director
Person: Senior Lecturer
20182026

1747 Citations
22 h-index
77 Article
35 Conference contribution
28 Conference article
8 Review article
More

A review of data fusion technology for fault diagnoses in wind turbine components
Owolabi, O. I., Adedeji, P. A., Olatunji, O. O. & Madushele, N., Jul 2026, In: Next Energy. 12, 100609.
Research output: Contribution to journal › Review article › peer-review

Open Access
A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise
Noorbhai, H., Moon, S. & Fukushima, T., 2025, In: Journal of Sports Sciences. 43, 12, p. 1167-1174 8 p.
Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus)
A hybrid framework based on Teager Energy Spectrum Correlation and Whale-optimized decision tree classifier for fault diagnosis in wind turbine drivetrain bearing
Gbashi, S. M., Olatunji, O. O., Adedeji, P. A. & Madushele, N., 2025, In: Procedia Computer Science. 274, p. 748-758 11 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
1 Citation (Scopus)

Researchers at University of Johannesburg Have Published New Study Findings on Engineering (PSO-optimised autoencoder for fault prediction in wind turbine planet carrier bearing)
Adedeji, P. & Madushele, N.
9/06/25
1 item of Media coverage
Press/Media
University of Johannesburg Researchers Report on Findings in Engineering (Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox)
Adedeji, P. & Madushele, N.
11/03/25
1 item of Media coverage
Press/Media
Studies from University of Johannesburg Provide New Data on Wind Turbines (From Academic To Industrial Research: a Comparative Review of Advances In Rolling Element Bearings for Wind Turbine Main Shaft)
Adedeji, P. & Madushele, N.
2/09/24
1 item of Media coverage
Press/Media

Biomedical Engineering and Healthcare Technology Research Centre

UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Dr Nkosinathi Madushele

A review of data fusion technology for fault diagnoses in wind turbine components

A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise

A hybrid framework based on Teager Energy Spectrum Correlation and Whale-optimized decision tree classifier for fault diagnosis in wind turbine drivetrain bearing

Researchers at University of Johannesburg Have Published New Study Findings on Engineering (PSO-optimised autoencoder for fault prediction in wind turbine planet carrier bearing)

University of Johannesburg Researchers Report on Findings in Engineering (Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox)

Studies from University of Johannesburg Provide New Data on Wind Turbines (From Academic To Industrial Research: a Comparative Review of Advances In Rolling Element Bearings for Wind Turbine Main Shaft)

Biomedical Engineering and Healthcare Technology Research Centre

UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Profiles

Dr Nkosinathi Madushele

Research output

A review of data fusion technology for fault diagnoses in wind turbine components

A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise

A hybrid framework based on Teager Energy Spectrum Correlation and Whale-optimized decision tree classifier for fault diagnosis in wind turbine drivetrain bearing

Press/Media

Researchers at University of Johannesburg Have Published New Study Findings on Engineering (PSO-optimised autoencoder for fault prediction in wind turbine planet carrier bearing)

University of Johannesburg Researchers Report on Findings in Engineering (Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox)

Studies from University of Johannesburg Provide New Data on Wind Turbines (From Academic To Industrial Research: a Comparative Review of Advances In Rolling Element Bearings for Wind Turbine Main Shaft)