Paper
3 September 1993 Feasibility of data fusion techniques applied to rotorcraft transmission diagnostics
Thomas A. DuBois, Richard R. Pruyn
Author Affiliations +
Abstract
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas A. DuBois and Richard R. Pruyn "Feasibility of data fusion techniques applied to rotorcraft transmission diagnostics", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); https://doi.org/10.1117/12.155004
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KEYWORDS
Diagnostics

Sensors

Data fusion

Algorithm development

Detection and tracking algorithms

Neural networks

Signal processing

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