Vishnu Tv

Title: Innovations by Vishnu Tv in Remaining Useful Life Estimation

Introduction

Vishnu Tv is an accomplished inventor based in Noida, India. He has made significant contributions to the field of machine learning and data analytics, particularly in the estimation of Remaining Useful Life (RUL) of entities. His innovative approach addresses the challenges faced in utilizing multi-sensor time series data for RUL estimation.

Latest Patents

Vishnu Tv holds a patent titled "Failed and censored instances based remaining useful life (RUL) estimation of entities." This patent focuses on the difficulties of estimating RUL from multi-sensor time series data through manual inspection. Traditional machine learning methods require a large number of failed instances for training, which are often not available. His invention provides systems and methods for estimating RUL by implementing an LSTM-RNN based ordinal regression technique. This technique encodes the RUL value of failed instances into a vector for model training, allowing for the use of censored instances where the exact RUL is unknown.

Career Highlights

Vishnu Tv is currently employed at Tata Consultancy Services Limited, where he continues to innovate and contribute to advancements in technology. His work has garnered attention for its practical applications in various industries.

Collaborations

Some of his notable coworkers include Pankaj Malhotra and Lovekesh Vig, who collaborate with him on various projects within the company.

Conclusion

Vishnu Tv's contributions to the field of RUL estimation demonstrate his expertise and innovative spirit. His patent reflects a significant advancement in the use of machine learning for practical applications, showcasing his role as a leading inventor in this domain.