Title :
Coupling numerical & symbolic techniques for dynamic data validation
Author_Institution :
Cambridge Consultants Ltd., Cambridge, UK
Abstract :
A validation scheme has been developed to process aircraft flight data by coupling numerical and symbolic processing techniques. Feature interpretation and qualitative modelling approaches have been adopted since the observed, aircraft sensor network lacked instrumentation redundancy. The development of this application is presented in the context of a generic data reduction hierarchy for which implementation issues are discussed. The system architecture and validation knowledge scheme was mapped from the findings of a set of knowledge elicitation interviews
Keywords :
aerospace computing; aircraft instrumentation; computerised instrumentation; data reduction; knowledge acquisition; redundancy; signal processing; symbol manipulation; aircraft flight data; aircraft sensor network; data reduction hierarchy; dynamic data validation; feature interpretation; instrumentation redundancy; intelligent information engineering; knowledge elicitation interviews; model based diagnosis; qualitative modelling; rule based processing system; symbolic processing; validation knowledge;
Conference_Titel :
Intelligent Systems Engineering, 1992., First International Conference on (Conf. Publ. No. 360)
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-549-4
