The fault diagnosis and condition monitoring group focuses on fault detection of gearbox with two approaches, the physical model-based approach, and the data-driven-based approach. A gearbox is a power or motion transmission device which is used in numerous industries like power plant, aviation, automobiles, factory automation, cooling towers, crushers, wind turbine, marine equipment and many more. The physical model-based approach consists of the electromechanical modeling of the motor-gear box system incorporating the faults and its experimental validation. In contrast, the data-driven approach works on the data taken from the system under various fault conditions. These data are further used to detect and quantify the amount of fault in the system. The overarching goal of this research is to translate the mentioned research into safe and reliable engineering applications of gearboxes. This facility includes Machine Fault Simulator (for fault diagnosis of the rotor, bearing, shaft, and bevel gearbox) and Wind Turbine Drive Simulator (for fault diagnosis of double-stage spur gearbox, helical gearbox, and planetary gearbox).
The applied mechanics and nonlinear dynamics group focuses on the constitutive modeling, nonlinear dynamics, control, and experimental validation of smart materials. The smart materials are a class of soft materials that shows mechanical actuation on external electrical and/or magnetic stimuli and find its application in various industries like soft robotics, energy harvesters, biomedical devices, aerospace, augmented and virtual reality, pumps, and prosthetics. The model of the smart material is obtained by constitutive modeling and is then validated with experimental results. The insights into the nonlinear dynamics of the system, like snap-through instability, jump phenomenon, periodic motion, quasiperiodicity, and chaos, are studied using time response, phase plot, Poincare maps, and bifurcation diagram. Through this, the effect of different parameters on the system's motion is obtained, which guides the practical application of the smart material-based actuator. Further, the control of the soft material-based system is also explored to get the required response and attain maximum efficiency. The The facility includes Universal Testing Machine (for testing elastic and plastic materials).