Md. Al. Mamun Khan

Implementation, Visualisation and Uncertainty Analysis of a Rainflow Algorithm-Based Coffin–Manson Fatigue Lifetime Estimation Model for Power Electronic Devices in PLECS. • Visualised internal Rainflow states, cycle closures and damage evolution • Performed Monte Carlo uncertainty analysis of lifetime-model parameters • Developed first-order analytical uncertainty propagation • Verified sensitivities using central finite differences • Checked Monte Carlo repeatability using different pseudo-random seeds

Implementation, Visualisation and Uncertainty Analysis of a Rainflow Algorithm-Based Coffin–Manson Fatigue Lifetime Estimation Model for Power Electronic Devices in PLECS. Visualised internal Rainflow states, cycle closures and damage evolution Performed Monte Carlo uncertainty analysis of lifetime-model parameters Developed first-order analytical uncertainty propagation Verified sensitivities using central finite differences Checked Monte Carlo repeatability using different pseudo-random see

Project Title: Implementation and Comparative Analysis of Rainflow Algorithms for Fatigue Lifetime Consumption of Power Electronic Device by Using Coffin-Manson Equation in PLECS This project aims to build a complete fatigue estimation system in PLECS, compare algorithms and evaluate suitability for MCUs/CPUs. • Implement Rainflow algorithms • Compare the algorithm • Evaluate algorithm accuracy and complexity • Compare cycle counts & lifetime consumption • Identify the best algorithm for MCUs/CPUs de

• Conducted thermal analysis and optimised heat sink design to enhance the performance and reliability of the power electronic module. • Utilised simulation tools such as MATLAB/SIMULINK, LTspice to model converter circuits and predict the behaviour. • Collaborated with the team to prototype and test power electronic circuits, including gate drivers and inverters. • Assisted in the design and testing of IGBT-based converters and inverters for industrial applications.