Sumant S Khalate

Title: Innovations of Sumant S Khalate

Introduction

Sumant S Khalate is an accomplished inventor based in Maharashtra, India. He has made significant contributions to the field of predictive diagnostics systems, particularly in the context of building management systems. With a total of three patents to his name, Khalate's work focuses on enhancing the efficiency and reliability of connected equipment through advanced diagnostic techniques.

Latest Patents

One of Khalate's latest patents is a predictive diagnostics system with a fault detector for preventative maintenance of connected equipment. This innovative system includes connected equipment that measures a variety of monitored variables. It utilizes a predictive diagnostics system to receive these monitored variables and generate a probability distribution. By employing supervised machine learning techniques, the system determines boundaries for the probability distribution to distinguish between normal and faulty conditions. Furthermore, it uses unsupervised machine learning techniques to separate faulty conditions into sub-patterns, creating a fault prediction model. This model allows the system to predict potential faults and provide corresponding diagnoses based on current monitored variables.

Career Highlights

Throughout his career, Sumant S Khalate has worked with notable companies such as Johnson Controls and Tyco IP Holdings LLP. His experience in these organizations has contributed to his expertise in developing innovative solutions for building management systems and connected equipment.

Collaborations

Khalate has collaborated with talented professionals in his field, including Tushar Shripad Joshi and Dishant Mittal. These collaborations have further enriched his work and contributed to the development of advanced diagnostic systems.

Conclusion

Sumant S Khalate's contributions to the field of predictive diagnostics systems demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of machine learning techniques and their application in real-world scenarios. Khalate's work continues to influence the industry and pave the way for future advancements in connected equipment management.