Rochester, NY, United States of America

Rolf Orsagh


Average Co-Inventor Count = 8.9

ph-index = 2

Forward Citations = 63(Granted Patents)


Company Filing History:


Years Active: 2012-2013

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2 patents (USPTO):Explore Patents

Title: Rolf Orsagh: Innovator in Electronic Systems Prognostics

Introduction

Rolf Orsagh is a notable inventor based in Rochester, NY (US), recognized for his contributions to the field of electronic systems. He holds two patents that focus on the health monitoring and failure prediction of electronic systems. His work addresses challenges that have traditionally been viewed as insurmountable, paving the way for advancements in prognostic health management.

Latest Patents

Rolf Orsagh's latest patents include systems and methods for predicting the failure of electronic systems and assessing the level of degradation and remaining useful life. These methodologies are designed to enhance prognostic health management (PHM) of electronic systems. The patents detail three innovative techniques: the use of existing electronic systems data as a sensor, the utilization of available external measurements as condition indicators and degradation assessors, and the development of performance assessment metrics derived from these external measurements.

Career Highlights

Throughout his career, Rolf has worked with prominent companies such as Impact Technologies, LLC and Sikorsky Aircraft Corporation. His experience in these organizations has contributed significantly to his expertise in electronic systems and their health management.

Collaborations

Rolf has collaborated with notable professionals in his field, including Patrick W Kalgren and Antonio Ginart. These partnerships have further enriched his work and innovations in electronic systems.

Conclusion

Rolf Orsagh's contributions to the field of electronic systems prognostics demonstrate his commitment to innovation and problem-solving. His patents reflect a deep understanding of the complexities involved in electronic health monitoring and failure prediction.

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