NASA/Lewis Research Center, 21000 Brookpark Road, Cleveland, OH 44135

A -- ADVANCED REAL-TIME ALGORITHM DEVELOPMENT FOR LAUNCH VEHICLE HEALTH MONITORING. SOL 3-095776 DUE 030998 POC Michael J. Kinkelaar, Contract Specialist, Phone (216) 433-2736, Fax (216) 433-2480, Email Michael.J.Kinkelaar@lerc.nasa.gov WEB: Click here for the latest information about this notice, http://nais.nasa.gov/EPS/LeRC/date.html#3-095776. E-MAIL: Michael J. Kinkelaar, Michael.J.Kinkelaar@lerc.nasa.gov. NASA/Lewis Research Center is hereby soliciting information for potential sources for ADVANCED REAL-TIME ALGORITHM DEVELOPMENT FOR LAUNCH VEHICLE HEALTH MONITORING. Techniques for diagnosing and isolating faults in the Space Shuttle Main Engine (SSME) have been developed and tested that include the application of expert systems, neural networks, model-based reasoning, event detection and sensor validation. A post-test/post-flight automated diagnostic system (PTDS) developed for the SSME analyzes flight and test data and reports any engine anomalies and confirms planned test objectives. This expert system uses both heuristic and case-based reasoning upon features extracted from the data. A similar capability is required for real-time or near-real-time operation. For a given test or flight, the PTDS algorithm requires the entire data set up front in order to perform its diagnostic functions. For this reason, the system is not suitable for real-time anomaly detection. Efforts in real-time anomaly detection have included multiparameter regression, clustering, neural network and time series analysis techniques which are trained on empirical data, including both failure data sets and nominal data sets, and target known anomalies. An additional capability is needed to provide fault isolation and diagnosis in real-time in order to reduce the operations costs associated with safety monitoring, and to provide immediate information on system health. To compliment the efforts currently underway, this system should provide diagnosis based on physical or heuristic models as in the PTDS without requiring an entire test or flight data set up front. In addition, computational and memory requirements should be sufficiently low so as not to preclude eventual adaptation to on-line operation. An advanced real-time algorithm for engine and/or vehicle condition assessment is desired for the Space Shuttle program. The proposed technique shall be capable of providing subcomponent level anomaly detection without requiring the largeamounts of nominal and failure data sets usually associated with empirically-derived safety algorithms. The approach shall provide real-time fault diagnostics to the extent possible within the constraints of real-time operation using techniques such as event-based or model-based condition assessment, probabillistic reasoning, and advanced computation and programming for knowledge-based systems. The information is sought from interested companies regarding their experience, past and current, in advanced real-timeanomaly detection algorithms for launch vehicles in Prototype System Development and Full Scale Development. No solicitation exists; therefore, do not request a copy of the solicitation. If a solicitation is released it will be synopsized in the CBD and on the NASA Acquisition Internet Service. It is the potential offerors responsibility to monitor these cites for the release of any solicitation or synopsis. Interested offerors/vendors having the required specialized capabilities to meet the above requirement should submit a capability statement of 3 pages or less indicating the ability to perform all aspects of the effort described herein. Responses must include the following: name and address of firm, size of business; average annual revenue for past 3 years and number of employees; ownership; whether they are large, small, small disadvantaged 8 (a), and or woman owned; number of years in business; affiliate information: parent company, joint venture partners, potential teaming partners, prime contractor (if potential sub) or subcontractors (if potential prime); list of similar efforts (contracts) in the past five years(highlight relevant work performed, contract numbers, contract type, dollar value of each procurement; and point of contact -- address and phone number). Technical questions should be directed to: Amy Jankovsky at (216)433-7498.Procurement related questions should be directed to: Michael Kinkelaar at (216)433-2736. Please advise if the requirement is considered to be a commercial or commercial-type product. A commercial item is defined in Internet "Note A". [INTERNET ONLY (commercial product definition)] This sources sought synopsis is for information and planning purposes and is not to be construed as a commitment by the Government nor will the Government pay for information solicited. Respondents will not be notified of the results of the evaluation. Respondents deemed fully qualified will be considered in any resultant solicitation for the requirement. The Government reserves the right to consider a small business or 8(a) set-aside based on responses hereto. All responses shall be submitted to IDENTIFIED POINT OF CONTACT at Mail Stop 500-306 no later than March 9, 1998. In responding reference 3-095776. Any referenced notes can be viewed at the following URL: http://genesis.gsfc.nasa.gov/nnotes.htm. (0051)

Loren Data Corp. http://www.ld.com (SYN# 0012 19980224\A-0012.SOL)