Ypsilanti, MI, United States of America

Prashanth Magadi


Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 24(Granted Patents)


Location History:

  • Canton, MI (US) (2006 - 2008)
  • Ypsilanti, MI (US) (2008 - 2009)

Company Filing History:


Years Active: 2006-2009

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5 patents (USPTO):Explore Patents

Title: Prashanth Magadi: Innovator in Machine Monitoring Technologies

Introduction

Prashanth Magadi is a notable inventor based in Ypsilanti, MI (US). He has made significant contributions to the field of machine monitoring technologies, holding a total of five patents. His work focuses on enhancing the operational efficiency and longevity of machinery through innovative monitoring systems.

Latest Patents

One of his latest patents is titled "System and method for monitoring operation of a press assembly." This invention establishes a baseline vibration level for a press assembly, allowing for the correlation of vibrations at different locations. This correlation helps determine if adjustments to the press operation are necessary or if certain elements need replacement before their expected lifespan. Another significant patent is "System and method for monitoring machine health." This method involves operating a machine tool outside its normal cycle to gather data, which is then analyzed to assess the machine's health through movement-specific trend lines.

Career Highlights

Prashanth has worked with prominent companies such as Ford Motor Company and Illinois Tool Works Inc. His experience in these organizations has contributed to his expertise in machine monitoring and operational efficiency.

Collaborations

Throughout his career, Prashanth has collaborated with talented individuals, including Chandra Sekhar Jalluri and Ingrid Margrit Kaufman. These collaborations have likely enriched his work and led to innovative solutions in the field.

Conclusion

Prashanth Magadi's contributions to machine monitoring technologies demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of machinery and a dedication to improving operational practices.

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