Arman Mohammadi was born in July 1994 in Isfahan, Iran. He attended Isfahan University of Technology to study Mechanical Engineering and continued his journey by pursuing a Master of Science degree in Mechatronics at the University of Tehran. From 2019 to 2020, he worked as a research engineer at the Smart Materials and Structures Laboratory. Since 2021, he has been a doctoral researcher in Electrical Engineering at Linköping University, Sweden, where his research focuses on applying machine learning methods for the maintenance and automation of industrial systems.
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Selected Publications
Selected Publications
Consistency-based diagnosis using data-driven residuals and limited training data
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
Stability-Informed Initialization (SII) of Neural Ordinary Differential Equations
Analysis of grey-box neural network-based residuals for consistency-based fault diagnosis
Fuel injection fault diagnosis using structural analysis and data-driven residuals
Fault diagnosis using data-driven residuals for anomaly classification with incomplete training data
Sensor Fusion Approach to Shape Estimation and Tip Location Prediction of a Base-Excited Cantilever Beam
ℒ1 Adaptive Control for Vibration Suppression of a Cantilever Beam
Power Optimization of a Piezoelectric Cantilever Beam for Energy Harvesting using Surrogate Model
Modeling and Experimental Evaluation of a Prototype Double-Tube Magnetorheological Damper
Selected Projects
Selected Projects
Detecting soft collisions for forklifts
Detection of harmful bearing currents in electric motors bearings
Diagnostic function development for thermal systems in electric trucks
Contamination level detection of hydraulic pressure filters in forklifts
Pick and Place Manipulator
Feeder Arm
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