RMCI, Inc.
Aaron Howell is a Mechanical Engineer at RMCI, Inc. since October 2015, bringing a strong background in engineering education and experience. Prior to this role, Aaron served as a Graduate Teaching Assistant at Georgia Institute of Technology from August 2013 to May 2015 and worked as a Business Technology Analyst at AIM Healthcare Services from July 2008 to August 2009. Early in the career, Aaron gained research experience as an intern at NASA Workforce Development in June 2007 and worked as a tutor with TRIO Student Support Service from January 2006 to May 2007. Aaron Howell earned a Ph.D. in Mechanical Engineering from Georgia Institute of Technology between 2009 and 2015 and holds a Bachelor’s Degree in Mechanical Engineering and Mathematics from Harding University acquired from 2004 to 2008.
RMCI, Inc.
RMCI, Inc. is the most experienced helicopter health monitoring team in the world. With experience monitoring over 3,000 U.S. Army rotorcraft, RMCI offers a comprehensive and sophisticated approach to vehicle health management on a variety of platforms. RMCI is an agile, creative, highly skilled team with a diverse set of capabilities, including: • Vibration signature analysis and diagnostics • Rotor track and balance • Condition-based maintenance (CBM) implementation • Bearing, gear, and shaft vibration and fault signature analysis • Acoustic modeling and noise control techniques • Sensor functions, selection, placement and instrumentation • Electrical signal processing • Dynamic system modeling, including lumped-parameter and finite-element based analysis • Data acquisition methods and requirements and data reduction • Development of new condition indicators (CIs) for the detection of specific component faults • Trending of CIs for component health • Data analysis for all U.S. Army helicopter drive train vibration diagnostic systems • Application-specific software development and software testing • Hardware design for electrical and mechanical systems • Hardware and software system integration • Processing and management of large data volumes • Development and calculation of performance metrics