34th Congress of the International Council of the Aeronautical Sciences

11 - Operations and Sustainment

A NOVEL DEEP MULTIMODAO INFORMATION FUSION MODEL FOR AERO-ENGINE STATE PREDICTION

Y. Huang¹, G. Sun¹, J. Tao¹, J. Feng¹; ¹Fudan University, China

In this paper, a novel deep multimodal information fusion method is proposed, which integrates information from the physical-based model and the data-driven model. Two deep Boltzmann machines are constructed for feature extraction from sensor data and model simulation data, respectively. Whereby the joint information is mapped into a high-dimensional space and forms a joint representation.


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