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Predictability in space launch vehicle anomaly detection using intelligent neuro-fuzzy systemsIncluded in this viewgraph presentation on intelligent neuroprocessors for launch vehicle health management systems (HMS) are the following: where the flight failures have been in launch vehicles; cumulative delay time; breakdown of operations hours; failure of Mars Probe; vehicle health management (VHM) cost optimizing curve; target HMS-STS auxiliary power unit location; APU monitoring and diagnosis; and integration of neural networks and fuzzy logic.
Document ID
19950018846
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Gulati, Sandeep (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Toomarian, Nikzad (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Barhen, Jacob (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Maccalla, Ayanna (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Tawel, Raoul (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Thakoor, Anil (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Daud, Taher (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
May 11, 1994
Publication Information
Publication: A Decade of Neural Networks: Practical Applications and Prospects
Subject Category
Cybernetics
Accession Number
95N25266
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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