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Model-based Fault Diagnosis for Ground and Propulsion Systems

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC20C0527
Agency Tracking Number: 205895
Amount: $124,598.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H10
Solicitation Number: SBIR_20_P1
Timeline
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-08-27
Award End Date (Contract End Date): 2021-03-01
Small Business Information
1211 E Denny Way, 32A
Seattle, WA 98122-2516
United States
DUNS: 969470108
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ksenia Kolcio
 (310) 704-6174
 corporate.record@okeansolutions.com
Business Contact
 Ksenia Kolcio
Phone: (310) 704-6174
Email: corporate.record@okeansolutions.com
Research Institution
N/A
Abstract

The Model-based Off-Nominal State Identification and Detection (MONSID) system provides robust and reliable fault management capabilities. The MONSID technology is composed of a diagnostic engine and system specific models. MONISD is a relatively compact software package because it relies only on modeling nominal behavior; fault models are not needed. The technique identifies the hardware element that is the cause of the detected fault thereby enabling more targeted recovery/repair response. MONSID supports autonomous operations technology requirements to reduce operations and maintenance costs and minimizes human in the loop intervention. Applied to propellant management and test facilities, the MONSID technology can provide a critical component for autonomous health management of these systems. MONSID provides an evolutionary approach to full onboard autonomy as it can first be implemented and tested in ground-based systems and then migrated to off-world remote operations. Autonomous fault management will be crucial to NASA mission success particularly during critical times where the situation changes rapidly and unpredictably with no opportunity for operator support.

* Information listed above is at the time of submission. *

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