NASA STTR 2012 Solicitation


PROPOSAL NUMBER: 12-2 T13.01-9887
RESEARCH SUBTOPIC TITLE: Risk Engineering, Sciences, Computation, and Informed Decisions
PROPOSAL TITLE: Risk Engineering, Sciences, Computation, and Informed Decisions

NAME: Qualtech Systems, Inc. NAME: Montana State University
STREET: 99 East River Drive STREET: 309 Montana Hall, P.O. Box 172470
CITY: East Hartford CITY: Bozeman
STATE/ZIP: CT  06108 - 7301 STATE/ZIP: MT  59717 - 2470
PHONE: (860) 257-8014 PHONE: (406) 994-1980

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Sudipto Ghoshal
99 East River Drive
East Hartford, CT 06108 - 7301
(860) 761-9341

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Sudipto Ghoshal
99 East River Drive
East Hartford, CT 06108 - 7301
(860) 761-9341

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 4
End: 7

Technology Available (TAV) Subtopics
Risk Engineering, Sciences, Computation, and Informed Decisions is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Wrong decisions during the missions can lead to an unsafe condition or immediate failure, while correct decisions can help continue the missions even from faulty conditions. In view of the lessons learned from mishaps, i.e., failed space missions, it is imminent that reliability analysis and risk assessment are kept in sync with space system design as it evolves from the concept through preliminary design, detailed design, production, and operations. From the successful proof-of-concept demonstration for the proposal solution in Phase I, Qualtech Systems, Inc. (QSI) in collaboration with Dr. John Sheppard from Montana State University (MSU) proposes to architect the solution for continuous real-time health monitoring and diagnosis, automatically generating current risk assessment for Loss of Mission, Loss of Crew, Loss of Vehicle during vehicle operations while taking into account the current health of the vehicle and operational modes and phases in Phase II. The QSI-MSU team plans to emphasize advancement in the six following areas: (a) enhancement of the existing EPS model/modeling a new target system, (b) dynamic generation of fault-tree by TEAMS-RDS®, (c) expansion of risk modeling and learning, (d) expansion of risk assessment capabilities, (e) Automatic information exchange between TEAMS-RDS® reasoner and CTBN reasoner for both design-time and run-time, and (f) enhancement and incorporation of the risk visualization tool capability into web-based TEAMS-RDS® dashboard. The solution architecture will provide the ability for the crew to assess and select the "right" mitigation option for component failures and subsequently update the health diagnosis and risk assessment given the executed mitigation plan.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The ultimate goal of all health determination and risk assessment, performed during design-time as well as during operations, is to ensure safety, reliability, mission fulfillment capability and cost-effective operation of a system. Complex space-related infrastructure systems, such as spacecraft, space station, lunar and planetary bases, etc. will benefit from the proposed technology with increased reliability and safety. The integrated solution can also significantly shorten the prototype design cycle for commercial space systems as well by performing failure analysis and risk assessment early in the design and mature the design with appropriate enhancements in order to develop a robust and reliable system with known failure modes and planned mitigation options.
NASA's current vision to enhance the level of autonomy for vehicle health management and mission planning and recovery makes the proposed effort worthy of funding from several branches within it. Clearly, establishing the technology and the software so that it readily operates as part of NASA's next generation missions especially those that require long-term operability and crew automation allows NASA to utilize the continuous health assessment and mission satisfiability information from QSI's tool for improved mission execution and reconfiguration while improving safety, mission success probability and reducing flight controller and crew workload.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The industries benefitting from rapid and automated health assessment, diagnostic analysis and recovery would include the operators of such reconfigurable systems whose failures have serious consequences and where high availability and operational reliability under long periods of unmonitored conditions are required. The space system industries (e.g., satellite manufactures and operators), unmanned vehicles such as UAV, AUV, Ground Vehicle manufacturers are the industrial sectors of interest and will be targeted as part of the commercialization effort.
Among the non-NASA government agencies, DoD and Air-force and Navy are the most potential customer for the resulting technologies. Large scale military systems (systems of systems) such as NORAD, Space Command ground segments, the Joint Strike Fighter fleet, the Navy shipboard platforms, Submarine Commands and ballistic missile defense (BMD) systems can be potential areas to field the proposed technology. The product is also expected to be of commercial value to the manufacturers of DoD and military's remotely guided weapons and reconnaissance systems.
A key industry that can benefit from this technology is the Oil and Natural gas industry that has developed large off-shore drilling operations such as in the Gulf of Mexico and North Sea. Commercial air transport, space-based systems, underwater, and maritime (both civil and military) sectors can also be the potential end user of the technologies developed from this effort.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Autonomous Control (see also Control & Monitoring)
Man-Machine Interaction
Models & Simulations (see also Testing & Evaluation)
Recovery (see also Autonomous Systems)
Sequencing & Scheduling

Form Generated on 07-29-14 10:30