Research · 01
Industrial Automation
Industrial systems generate heterogeneous, noisy and partially reliable measurements. The laboratory studies how these measurements can be turned into dependable supervision and control.
Work in this area covers instrumentation and measurement, process supervision, fault detection and the design of automation architectures for real installations.
- Instrumentation
- Process supervision
- Fault detection
- SCADA
Related Publications
All publications →2025
Attention-Augmented BiLSTM with Ensemble Learning for Fault Diagnosis in Industrial Processes
Hamed Soltani, Behzad Moshiri
2025
Fault Detection and Severity Classification of Inter-turn Short-Circuit Faults in PMSMs Using a Combination of Projection-Based Support Vector Machine and Bayesian Neural Network
Abbas Darvishi, Seyed Mohsen Seyed Moosavi, Ebrahim Aghajari, Behzad Moshiri
OICC Press Journals
2025
Fault Detection in Induction Motors Using Thermal Images and Interpretable Machine Learning: An Approach Based on Efficientnet and Advanced Simulation Algorithms
Seyed Reza Hashemi Dogahe, Behzad Moshiri
2022
Fault detection and isolation of gas turbine: Hierarchical classification and confidence rate computation
Mohammad Reza Nayeri, Babak Nadjar Araabi, Behzad Moshiri
Journal of the Franklin Institute
2022
Water detection framework for industrial electric arc furnaces: Boundary modelling and formulation
Hamzah Alshawarghi, Farzad Hourfar, Behzad Moshiri, Ali Almansoori, Ali Elkamel
The Canadian Journal of Chemical Engineering