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Model-based Fault Diagnosis for Ground and Propulsion Systems

Awardee

OKEAN SOLUTIONS INC

1211 E Denny Way #32A
SEATTLE, WA, 98122
USA

Award Year: 2020

UEI: FXZXK6CDEK25

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

Congressional District: 7

Tagged as:

SBIR

Phase I

Seal of the Agency: NASA

Awarding Agency

NASA

Total Award Amount: $124,598

Contract Number: 80NSSC20C0527

Agency Tracking Number: 205895

Solicitation Topic Code: H10

Solicitation Number: SBIR_20_P1

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.

Award Schedule

  1. 2020
    Solicitation Year

  2. 2020
    Award Year

  3. August 27, 2020
    Award Start Date

  4. March 1, 2021
    Award End Date

Principal Investigator

Name: Ksenia Kolcio
Phone: (310) 704-6174
Email: corporate.record@okeansolutions.com

Business Contact

Name: Ksenia Kolcio
Phone: (310) 704-6174
Email: corporate.record@okeansolutions.com

Research Institution

Name: N/A