Amit Purohit

Title: Innovations by Inventor Amit Purohit

Introduction

Amit Purohit, based in Thane West, India, is an innovative inventor known for his contributions to the field of predictive maintenance systems utilizing the Internet of Things (IoT). With an impressive portfolio of three patents, Amit's work showcases a deep understanding of machine learning and sensor technology.

Latest Patents

Amit Purohit's latest patents reflect his expertise in predictive maintenance. One of his significant inventions is an "Internet of Things Based Conveyance Having Predictive Maintenance." This method and system leverage sensor data received over a communications network, organizing it into clusters based on predetermined rules. The data is analyzed through a machine learning engine, leading to enhanced baselining through a sophisticated architecture. His system predicts maintenance needs by employing a regression model, allowing users to visualize the fault state through an intuitive user interface.

Another notable patent involves "Real-Time Machine Learning Based Predictive and Preventive Maintenance of Vacuum Pumps." This innovative approach entails monitoring motor and blower sensor data to identify the vacuum levels and detect potential faults. By categorizing filter conditions and oil levels through machine learning algorithms, Amit's invention ensures operational safety by triggering alarms for immediate user attention.

Career Highlights

Amit currently works at Machinesense, LLC, a company specializing in advanced monitoring solutions. His role allows him to contribute to cutting-edge technologies that improve machine performance and reliability.

Collaborations

In his endeavors, Amit collaborates with talented professionals such as Biplab Pal and Steven Gillmeister, enhancing the innovation process through teamwork and shared expertise. Their collective efforts contribute to the development of sophisticated predictive maintenance systems.

Conclusion

Amit Purohit stands out as a pioneering inventor in the realm of IoT and predictive maintenance. Through his patents and collaborative efforts, he is shaping the future of machine monitoring, making significant strides in enhancing operational efficiency and safety in various industries.