Smart Systems Design and Decision Making Lab


RESEARCH PROJECTS

Project 1: Onsite Microgrid Design and Control for Manufacturing Industry

Microgrid technology has been widely investigated and applied in commercial and residential sector, while for manufacturers, it has been less explored and utilized. The project aims to develop cost-effective sizing of the microgrid and control strategies of the components considering the energy tariff, i.e., Time of Use (TOU), Critical Peak Pricing (CPP) etc., where customer side load adjustment is highly encouraged. The project is also focusing to develop control strategies for the manufacturers to participate optimally in the overgeneration mitigation-oriented demand response program based on the identified optimal size of onsite microgrid to minimize the energy cost.

Project 2: Atunomous Fault Detection in Wind Turbine Blade Using Deep Learning Algorithms

Due to the faults in the blade, the downtime of the wind turbine varies from a couple of hours to a couple of days, sometimes even more. In addition, the process is human centric, and accuracy is significantly low. The goal of the project is to identify the fault in real time with desired accuracy. Different machine learning algorithms are investigated in this project to develop the autonomous fault detection framework to address the current limitation.


Test your wind turbine fault

Project 3: Modeling and Assessing Workforce Activities in Cyber Physical System using Virtual Reality and Machine Learning

The architecture of current cyber physical systems are quite complex: dynamic, distributed, and multi-layered. It is quite challenging to develop a seamless collaboration between human and the autonomy for desired level of productivity, accuracy, and safety. Currently, the 2D screens are not effective enough to train the human and achieve the goal. The project aims to develop a framework for the action recognition of the participants in the cyber physical systems and train them in a highly immersive virtual environment to improve the overall performance of the complex system.

Contact Info

Email: md.monirul.islam@tamuk.edu