Anomaly Detector Fusion Processing for Advanced Military Aircraft
نویسنده
چکیده
Automated Prognostics and Health Management (PHM) is a requirement for advanced military aircraft. PHM is the key to achieving true condition-based maintenance. PHM processing strategies include modules for the processing of known nominal and fault conditions. However in real operations there will also occur faults and other off-nominal operations that were never anticipated nor ever encountered before. We call these events anomalies. Missing the presence of an anomaly could potentially be catastrophic with the loss of the pilot and aircraft. Several different anomaly detectors (ADs) have been developed for advanced military aircraft to solve this problem. Fusion of these ADs can significantly reduce false alarms while at the same time substantially improving detection performance. Fusion is a way of approaching the goal of perfect detection with zero false alarms. We have developed a neural net approach for performing AD fusion. Presented here is a description of that technique and the application to military aircraft subsystem data. 1. TABLE OF CONTENTS
منابع مشابه
Hyperspectral Algorithm Development for Military Applications: A Multiple Fusion Approach
Developments of long range target detection techniques have been a military priority, especially against very low observable targets like deeply hidden vehicles. Not surprisingly, the need for the development of a highly efficient passive detection system with sensitivity capable to detect extremely low cross-section objects like mines is even more demanding. In this paper, we summarise the ach...
متن کامل3D Gabor Based Hyperspectral Anomaly Detection
Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...
متن کاملImproving the RX Anomaly Detection Algorithm for Hyperspectral Images using FFT
Anomaly Detection (AD) has recently become an important application of target detection in hyperspectral images. The Reed-Xialoi (RX) is the most widely used AD algorithm that suffers from “small sample size” problem. The best solution for this problem is to use Dimensionality Reduction (DR) techniques as a pre-processing step for RX detector. Using this method not only improves the detection p...
متن کاملAutonomous Search and Surveillance with Small Fixed Wing Aircraft
Autonomous Search and Surveillance with Small Fixed Wing Aircraft by Timothy Garland McGee Doctor of Philosophy in Engineering-Mechanical Engineering University of California, Berkeley Professor J. Karl Hedrick, Chair Small unmanned aerial vehicles (UAVs) have the potential to act as low cost tools in a variety of both civilian and military applications including traffic monitoring, border patr...
متن کاملCharacterization of rocket and jet noise using near-field acoustic holography methods
As rockets and jets on military aircraft become more powerful, the noise they produce can lead to structural fatigue, hearing damage, and community disturbances. Noise-reduction technologies and sound radiation prediction require accurate characterization of the noise sources within rocket plumes and jets. Near-field acoustical holography techniques were used to visualize the sound field in the...
متن کامل