SBIR-STTR Award

Ride Performance Assessment System (RPAS)
Award last edited on: 10/5/2020

Sponsored Program
SBIR
Awarding Agency
DOT
Total Award Amount
$450,164
Award Phase
2
Solicitation Topic Code
151FR9
Principal Investigator
Treasa B Parakkat

Company Information

dFuzion Inc

21536 Iredell Terrace
Ashburn, VA 20148
   (703) 946-8961
   info@dfuzion.com
   www.dfuzion.com
Location: Single
Congr. District: 10
County: Loudoun

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2015
Phase I Amount
$149,999
dFuzion proposes the development of a comprehensive Ride Performance Assessment System (RPAS). RPAS leverages the investment and research already made by FRA in its sponsored portable ride quality meter. By extending the ride quality data acquistion framework to accept inputs from suspension displacement sensors, RPAS can correlate data from acceleration and displacement sensors with geospatial information. The RPAS concept would allow users the flexibility of correlating a variety of data types in real?time in an effort to better validate vehicle models, and detect track and/or vehicle anomalies. No one data type can always definitively predict or identify anomalous conditions, but correlating multiple data types can achieve a greater level of confidence in the measurement results. In the future, additional sensors (i.e., strain, force, temperature, load, RPM) can similarly be integrated into RPAS for additional on?board situational awareness.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2017
Phase II Amount
$300,165
To address FRA’s requirements of measuring rail vehicle suspension displacement and integrating this into existing accelerometer-based ride quality systems, dFuzion proposes the development of a comprehensive Ride Performance Assessment System (RPAS). RPAS will leverage the investment and research already made by FRA in its sponsored portable ride quality meter. By extending the ride quality data acquisition framework to accept inputs from suspension displacement sensors, RPAS can correlate data from acceleration and displacement sensors with geospatial information. The RPAS concept would allow users the flexibility of correlating a variety of data types in real-time in an effort to better validate vehicle models, and detect track and/or vehicle anomalies. No one data type can always definitively predict or identify anomalous conditions, but correlating multiple data types can achieve a greater level of confidence in the measurement results. In the future, additional sensors (i.e., strain, force, temperature, load, RPM) can similarly be integrated into RPAS for additional on-board situational awareness.