Optimal Weight Power System Design and Synthesis for More Electric Aircraft (2020)
The synthesis of a power distribution architecture for More Electric Aircraft requires weight optimization to reduce energy consumption significantly. This innovative solution presented at AIAA Propulsion and Energy 2020 Forum aims to address this challenge by focusing on optimal weight power system design and synthesis. By optimizing the weight of the power system, energy efficiency and overall performance of the aircraft can be enhanced, leading to significant advancements in the aviation industry.
Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization (2020)
With the increasing use of electrical energy in future aviation, efficient load flow optimization is essential for enhancing on-board operating conditions. The presentation at 2020 IEEE Transportation Electrification Conference & Expo highlighted the significance of linear power flow characterization in DC power distribution systems for optimizing More Electric Aircraft (MEA). By developing sophisticated models and iterative methods, this innovative approach facilitates efficient load flow calculations and optimization, ensuring enhanced performance and energy efficiency in MEA.
Uncertainty quantification in ultrasonic guided-waves based damage localization (2019)
Addressing the challenges of damage localization in structures using ultrasonic guided waves, the research presented at COMPDYN 2019 focused on uncertainty quantification through Bayesian methods. By leveraging Bayesian techniques for inverse problems, the research offers robustness to noise and uncertainty in damage localization, ensuring accurate and reliable results. This innovative approach enhances the effectiveness of ultrasonic guided waves for structural health monitoring and damage detection, contributing to the advancement of structural assessment technologies.
A Bayesian time-of-flight estimation for ultrasonic damage detection (2018)
The presentation at the 9th European Workshop on Structural Health Monitoring introduced a Bayesian time-of-flight estimation method for ultrasonic damage detection in plate-like structures. By leveraging Bayesian inference techniques, the research focuses on accurately estimating the time-of-flight feature in ultrasonic guided waves, enhancing the effectiveness of structural health monitoring methods. This innovative approach offers a reliable and efficient solution for detecting and localizing damage in structures, contributing to advancements in structural health monitoring technologies.