SBIR-STTR Award

Damage Propagation Assessment - A Causal Model Approach for Design and Operations
Award last edited on: 3/12/2023

Sponsored Program
SBIR
Awarding Agency
NASA : MSFC
Total Award Amount
$999,202
Award Phase
2
Solicitation Topic Code
S17.03
Principal Investigator
Sudipto Ghoshal

Company Information

Qualtech Systems Inc (AKA: QSI)

100 Corporate Place Suite 220
Rocky Hill, CT 06067
   (860) 257-8014
   info@teamqsi.com
   www.teamqsi.com
Location: Multiple
Congr. District: 01
County: Hartford

Phase I

Contract Number: 80NSSC22PB168
Start Date: 7/22/2022    Completed: 1/25/2023
Phase I year
2022
Phase I Amount
$149,782
Qualtech Systems, Inc. (QSI) in collaboration with Dr. Stephen B. Johnson of Dependable Systems Technologies (DST) proposes a novel, causal-model based systematic methodology for assessing damage propagation due to one or multiple originating faults and how the propagation affects and damages other components. In fault propagation, downstream components from the root-cause fault which rely on its function, may also fail. When the root cause is mitigated, those downstream components resume their normal operating behavior. During damage propagation, the originating fault’s damage, leads to the failure effects in which physical damage to downstream components is a consequence, such that those components can no longer function nominally. Even if the originating fault recovers or is replaced or bypassed, the downstream damaged components do not recover and continue to remain in a failed state. This proposal aims to create new capabilities for QSI’s TEAMS® tool suite to represent the differences between components in which failure effects ‘pass through’ or cause only functional impairment versus those that can cause physical damage. During TEAMS® model design, this new capability will enable the modeler to represent the activation of a downstream component failure mode when a specific failure effect (a TEAMS® ‘function’) arrives at the component. This will signify that though the failure effects begin with a single fault (cause, failure mode), a second fault will now exist in the relevant downstream component so that if the first fault is removed the second fault will remain unless another repair is made. During operations when TEAMS® is used to perform diagnosis, TEAMS® will alert operators that a second independent fault may exist as a consequence of the effects of the first fault. The impact of this new capability on the TEAMS® fault management metrics modeling and generation capability will be explored during the course of the SBIR project. Potential NASA Applications (Limit 1500 characters, approximately 150 words): The proposed technology is aimed at facilitating effective usage of model-based systems engineering for improving fault tolerance and mitigation response capability during design, and the concomitant software tool for supporting its implementation, will allow NASA to better design, plan and execute future Space Missions. The proposed technology is positioned for direct applications for NASA missions that deploy complex equipment such as the Lunar Gateway, the Space Launch System, the Human Lander, Europa Clipper and rovers such as the VIPER. Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words): We envisage the proposed technology to be of significant interest for DoD’s Mission planning and Rapid design of space missions/satellites where model-based design processes will be used for supporting infrastructure Space services capabilities. QSI is currently working with the Army for fault management design of the Remote Combat Vehicle (RCV) and plan to apply this technology for that effort. Duration: 6

Phase II

Contract Number: 80NSSC23CA144
Start Date: 6/8/2023    Completed: 6/7/2025
Phase II year
2023
Phase II Amount
$849,420
Qualtech Systems, Inc. (QSI) in collaboration with Dr. Stephen B. Johnson of Dependable Systems Technologies (DST) proposes a novel, causal graph-based model and a systematic modeling methodology for assessing damage propagation due to one or multiple originating faults and how the propagation affects and damages other components. In fault propagation, downstream components from the root-cause fault which rely on its function, may also fail. When the root cause is mitigated, those downstream components resume their normal operating behavior. During damage propagation, the originating fault’s damage, leads to the failure effects in which physical damage to downstream components is a consequence, such that those components can no longer function nominally. Even if the originating fault recovers or is replaced or bypassed, the downstream damaged components do not recover and continue to remain in a failed state. This proposal aims to create a new software module for QSI’s TEAMS® tool suite that incorporates component damage as a failure cause and can identify the differences between components in which failure effects ‘pass through’ or cause only functional impairment versus those that can cause physical damage. This new capability will enable the modeler to represent damage induced component failure modes and their interaction with functional failure modes. Distinction between the two, where the functional failure mode can be caused by damage or bad inputs from impairments upstream, will allow TEAMS® to generate a more comprehensive and accurate assessment of the health of the components of the system and facilitate appropriate mitigation actions. Anticipated

Benefits:
The proposed technology is aimed at facilitating effective usage of model-based systems engineering for improving fault tolerance and mitigation response capability during design, and the concomitant software tool for supporting its implementation, will allow NASA to better design, plan and execute future Science Missions. The proposed technology is positioned for direct applications for NASA missions that deploy complex equipment such as the Lunar Gateway, the Space Launch System, the Human Lander, Europa Clipper and rovers such as the VIPER. We envisage the proposed technology to be of significant interest for DoD’s Mission planning and Rapid design of space missions/satellites where model-based design processes will be used for supporting infrastructure Space services capabilities. QSI is currently working with the Army for fault management design of the Remote Combat Vehicle (RCV) and plan to apply this technology for that effort.