Research

Engineering Sciences

Title :

Digital twin based solutions for improving reliability and efficiency of multi-stage wind turbine gearboxes

Area of research :

Engineering Sciences

Principal Investigator :

Dr. Sabareesh Geetha Rajasekharan, Birla Institute Of Technology & Science (BITS) Pilani, Hyderabad Campus, Telangana

Timeline Start Year :

2023

Timeline End Year :

2026

Contact info :

Equipments :

Details

Executive Summary :

A digital twin is a virtual representation of physical equipment such as a wind turbine gearbox. It serves as the real-time digital counterpart of the physical equipment. The digital twin concept allows for a data-driven model to constantly update the mathematical model that was initially developed for the system. Once the digital twin has fully captured the physical parameters from the data provided by the physical model, it can then be replicated virtually and tested virtually by subjecting it to different operational conditions. This can then be considered for real experiments as the virtual model is a ‘twin' of the actual physical system. Hence, a digital twin approach can allow for extensive experimentation, leading to a greater understanding regarding the degradation of a complex system, improving safety, reliability, and efficiency. Although several digital twin frameworks have been developed, existing work on real-time monitoring, fault detection, and prediction of extended life have limitations such as difficulties in obtaining the real-time data from the physical system (either gearboxes, pumps, structures, etc.,) and data handling, latency during data transmission. The current proposal attempts to successfully model digital twin-based solutions for the real-time monitoring of a multi-stage gearbox.Additionally, the model validation, reliability analysis and quantification of the proposed algorithms will also be proliferated more explicitly

Co-PI:

Dr. Vamsi Inturi, Chaitanya Bharathi Institute Of Technology, Hyderabad, Telangana-500075

Total Budget (INR):

28,08,696

Organizations involved