This paper addresses the feasibility of applying data fusion techniques to resolve the sensitivity versus false alarm dilemma of rotorcraft transmission diagnostics. Traditionally, data fusion techniques have been applied almost exclusively to automatic target recognition problems, but the processing concepts are well-suited to address complex machine diagnostics and prognostics. Processing methods such as data alignment and association, hierarchical inferencing, situation assessment, threat assessment, time predictions, sensor management, and human-computer interface are common to both automatic target recognition and transmission diagnostics. The benefits of this approach include: (1) improved decision support, (2) reduced false alarm rates, (3) improved mission effectiveness, and (4) enhanced safety.

Date Published: 3 September 1993
PDF: 12 pages
Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.155004

Published in SPIE Proceedings Vol. 1955:
Signal Processing, Sensor Fusion, and Target Recognition II
Ivan Kadar; Vibeke Libby, Editor(s)