Masdi Muhammad

Insights into modern machine learning approaches for bearing fault classification: A systematic literature review

Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar et al. · Results in Engineering · 2024 · 95 citations · Full text

Computing, Computer Science, Industrial Engineering +17

A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines

Mohammadreza Tahan, Masdi Muhammad, Zainal Ambri Abdul Karim · Journal of the Brazilian Society of Mechanical Sciences and Engineering · 2017 · 49 citations

Engineering, Computer Engineering, Mechanical Engineering +16

Comparative Analysis between Fuzzy and Traditional Analytical Hierarchy Process

Freselam Mulubrhan, Ainul Akmar Mokhtar, Masdi Muhammad · MATEC Web of Conferences · 2014 · 47 citations · Full text

Business, Decision Sciences, Petroleum Engineering +14

Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data

Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad et al. · Mathematics · 2022 · 44 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

Hybrid intelligence for enhanced fault detection and diagnosis for industrial gas turbine engine

Umair Sarwar, Masdi Muhammad, Ainul Akmar Mokhtar et al. · Results in Engineering · 2024 · 40 citations · Full text

Computing, Industrial Engineering, Manufacturing Engineering +17