This inventor holds 8 USPTO granted patents and 1 published patent application, plus 2 CIPO patents and 3 EPO patents. Top assignee: Exxonmobil Research and Engineering Company. Active years: 2008-2012.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008-2012
Title: Innovations by Kenneth F Emigholz
Introduction
Kenneth F Emigholz is a notable inventor based in Chevy Chase, MD (US). He has made significant contributions to the field of industrial process analysis, holding a total of 8 patents. His work focuses on developing methods and systems that enhance the detection of abnormal events in continuous industrial processes.
Latest Patents
Among his latest patents is a method and system for using inferential measurements for abnormal event detection in continuous industrial processes. This invention aims to identify abnormal on-line analysis or laboratory measurements and predict quality excursions due to abnormal process conditions. Another significant patent involves the application of abnormal event detection technology to hydrocracking units. This method compares the operation of process units to a model developed through principal components analysis of normal operations. If discrepancies indicate an abnormal condition, the cause is determined and corrected.
Career Highlights
Kenneth is currently employed at ExxonMobil Research and Engineering Company, where he continues to innovate and contribute to advancements in industrial processes. His expertise in abnormal event detection has positioned him as a key figure in enhancing operational efficiency and safety in the industry.
Collaborations
He has collaborated with notable colleagues such as Stephen S Woo and Robert K Wang, further enriching his work and contributions to the field.
Conclusion
Kenneth F Emigholz's innovative patents and career at ExxonMobil highlight his significant impact on industrial process analysis. His work continues to pave the way for advancements in detecting and correcting abnormal conditions in various industrial applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
