Company Filing History:
Years Active: 1998
Title: Innovations by Vasanth Krishnaswami in Internal Combustion Engine Technology
Introduction
Vasanth Krishnaswami is an accomplished inventor based in Columbus, OH (US). He has made significant contributions to the field of internal combustion engine technology, particularly in the area of predictive modeling and misfire detection. With a total of 2 patents to his name, his work has the potential to enhance engine performance and reliability.
Latest Patents
Vasanth's latest patents include a "Process for deriving predictive model of crankshaft rotation" and a "Misfire detector with torsional oscillation filtering." The first patent focuses on creating a predictive model that aids in misfire detection by utilizing data collected from a test engine. This model employs NARMAX techniques to relate deviant acceleration at different crankshaft sections, ultimately improving the accuracy of misfire detection. The second patent addresses the irregularities in crankshaft velocity by using a NARMAX-generated model to filter out the effects of torsional oscillations. This innovation results in more accurate crankshaft acceleration values, enhancing the performance of misfire detectors.
Career Highlights
Vasanth Krishnaswami is currently associated with Ford Global Technologies, LLC, where he continues to develop innovative solutions for internal combustion engines. His expertise in predictive modeling and misfire detection has positioned him as a valuable asset in the automotive industry.
Collaborations
Throughout his career, Vasanth has collaborated with notable colleagues, including Bruce David Bryant and Kenneth A Marko. These collaborations have contributed to the advancement of technologies in the field of engine performance.
Conclusion
Vasanth Krishnaswami's contributions to internal combustion engine technology through his patents and work at Ford Global Technologies, LLC, highlight his innovative spirit and dedication to improving engine performance. His advancements in predictive modeling and misfire detection are paving the way for more efficient and reliable automotive technologies.