NASA SBIR 2019-II Solicitation

Proposal Summary


PROPOSAL NUMBER:
 19-2- A1.09-4472
PHASE 1 CONTRACT NUMBER:
 80NSSC19C0369
SUBTOPIC TITLE:
 Vehicle Safety - Internal Situational Awareness and Response
PROPOSAL TITLE:
 Hiawatha Onboard Electronic Sensing
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Nokomis, Inc.
310 5th Street
Charleroi, PA 15022
(412) 650-6236

PRINCIPAL INVESTIGATOR (Name, E-mail, Mail Address, City/State/Zip, Phone)
Karen Canne
kcanne@nokomisinc.com
310 5th Street
Charleroi, PA 15022 - 1517
(724) 483-3946

BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Eli Polovina
epolovina@nokomisinc.com
310 5th Street
Charleroi, PA 15022 - 1517
(724) 483-3946

Estimated Technology Readiness Level (TRL) :
Begin: 4
End: 6
Technical Abstract (Limit 2000 characters, approximately 200 words)

The cause of most adverse situations during unmanned aerial system operation is system, subsystem, or component faults or failure which are caused by damage, degradation, or environmental hazards that occur during flight. The Hiawatha Onboard Electronic Sensing System can unobtrusively monitor the electronic health of the unmanned vehicle in real-time, identifying and assessing the threat of any transient high stress events which can affect the ongoing health and safety of the system to prevent system failure or unsafe conditions.  The system relies on identifying changes in unintended RF emissions and characterizing them using a hybrid of spectral quantification metrics and machine learning algorithms. Leveraging mature RF hardware, Nokomis will integrate and test machine learning algorithms capable of assessing emissions changes in real time identify imminent fault states caused by normal wear or stress events which cause temporary or permanent disability of the system. The system is envisioned to operate autonomously, alerting the operator or initiating countermeasures as needed.

In Phase II, a prototype of the system will be built and tested supported by the following tasks:

  • Collect system and subsystem RF emissions during different operational states including high-stress situations for development and testing of software algorithms
  • Develop and integrate software modules including machine learning algorithms to assess data to identify signature and markers which indicate potential component damage or wear beyond expected use degradation
  • Demonstrate system ability to autonomously distinguish between markers indicating normal system state, stressed state, and critical imminent failure
  • Test and evaluate the performance of the prototype using actual UAS subsystems
Potential NASA Applications (Limit 1500 characters, approximately 150 words)

The primary application is for use in by unmanned vehicles to provide a safety system to identify any threats to vehicle performance and mission.  The real-time threat analysis system will enhance vehicle safety without the need for an operator to either identify issues or initiate measures to compensate for unsafe operating states.  The cause of most adverse situations is system, subsystem, or component faults or failure which are caused by damage degradation, or environmental hazards that occur during flight.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

The market for UAS includes commercial applications such as surveillance, visual monitoring of remote infrastructure, and package delivery in densely populated areas. These applications benefit from increased security of operations, to prevent loss of valuable equipment, ensuring the safety of people, and limiting damage to other infrastructure due to a critical failure of an aerial platform.

Duration: 24

Form Generated on 05/04/2020 06:36:11