Lubricant condition monitoring
Electrochemical impedance spectroscopy, multi-angle optical transmittance/scattering sensors, and real-time viscosity estimation.
Publications & papers
Seven papers spanning in-line lubricant sensing, virtual sensors, computer vision viscosity estimation, generative design, and fuzzy logic control.
First author
In-Line Electrochemical Impedance Spectroscopy Sensor with Perpendicular Stainless-Steel Electrodes for Real-Time Lubricant Condition Monitoring
First author
Design and Validation of a Multi-Angle Optical In-line Sensor for Transmittance and Scattering-Based Lubricant Condition Monitoring
Co-author
A Speed-informed Virtual Sensor Concept for Aeration and Ageing of Gearbox Lubrication Oils
First author
Hybrid Computer Vision and Analytical Method Approach to Real-Time Viscosity Estimation in Mechanical Systems
First author
Virtual sensor concept for evaluating the oil aging based on AI algorithms: A fuzzy logic approach
Co-author
Generative Design of Articulated Rod of Radial Engine
doi.org/10.21791/IJEMS.2021.1.4Co-author
Vehicle Speed Fuzzy Logic Controller System Using Surface EMG Signal
dx.doi.org/10.15866/ireme.v14i1.18086Electrochemical impedance spectroscopy, multi-angle optical transmittance/scattering sensors, and real-time viscosity estimation.
ANN/CNN virtual sensors, fuzzy logic for oil aging, and RUL estimation from multi-channel industrial datasets.
Topology optimization and generative design of articulated engine components.
Fuzzy logic vehicle speed control using surface EMG signals.