Company Filing History:
Years Active: 2020
Title: Innovations by Amit Chakrabarty in Machine Reliability
Introduction
Amit Chakrabarty is an accomplished inventor based in Columbia, MD (US). He has made significant contributions to the field of machine reliability through his innovative patent. His work focuses on leveraging the Internet of Things (IoT) to enhance maintenance and operational efficiency in machinery.
Latest Patents
Amit holds a patent titled "Internet of things based determination of machine reliability and automated maintenance, repair and operation (MRO) logs." This patent describes a computer-implemented method and system for determining the reliability of a machine. The method involves receiving machine data from various locations through an IoT-based machine wearable sensor network. The data is stored in a distributed computer database that is communicatively linked to an enterprise resource planning (ERP) system. The system extracts entity information from the data to compare against a predefined baseline. Additionally, it maps the extracted information into a multi-classification model using a big data machine learning engine. The method also includes providing analytical predictions for machine maintenance, repair, and operation through a user interface.
Career Highlights
Amit Chakrabarty has established himself as a key figure in the field of machine reliability. His innovative approach to integrating IoT technology with machine maintenance has set new standards in the industry. He is currently associated with Machinesense, LLC, where he continues to develop solutions that enhance operational efficiency.
Collaborations
Amit has collaborated with notable professionals in his field, including Biplab Pal and Neeraj Nagi. Their combined expertise contributes to the advancement of technology in machine reliability and maintenance.
Conclusion
Amit Chakrabarty's contributions to the field of machine reliability through his innovative patent demonstrate the potential of IoT technology in enhancing operational efficiency. His work continues to influence the industry and pave the way for future advancements.