Various data, feature and knowledge fusion strategies and architectures have been developed over the last several years for improving upon the accuracy, robustness and overall effectiveness of anomaly, diagnostic and ...
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Various data, feature and knowledge fusion strategies and architectures have been developed over the last several years for improving upon the accuracy, robustness and overall effectiveness of anomaly, diagnostic and prognostic technologies. fusion of relevant sensor data, maintenance database information, and outputs from various diagnostic and prognostic technologies has proven effective in reducing false alarm rates, increasing confidence levels in early fault detection, and predicting time to failure or degraded condition requiring maintenance action. The data fusion strategies discussed in this paper are principally probabilistic or AI-based in nature and are used to aid in directly identifying confidence bounds associated with specific component fault identifications and predictions. Dempster-Shafer fusion, Bayesian inference, fuzzy-logic inference, neural network fusion and simple weighting/voting are the algorithmic approaches that are discussed in this paper. Data fusionarchitectures such as centralized fusion, autonomous fusion, and hybrid fusion are described in terms of their applicability to fault diagnosis and prognosis. The final goal is to find the optimal combination of measured system data, data fusion algorithms, and associated architectures for obtaining the highest overall prediction/detection confidence levels associated with a specific application. A gas turbine engine test cell sensor validation example is provided in the paper that is specifically related data fusion approaches for test cell sensor validation using Dempster-Shafer fusion.
A data fusion and sensor management node for use in applications with multiple platforms, multiple sensors, multiple functions and multiple targets environments has been designed. As a demonstration of the usefulness ...
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A data fusion and sensor management node for use in applications with multiple platforms, multiple sensors, multiple functions and multiple targets environments has been designed. As a demonstration of the usefulness of the system, a sensor management experiment was performed. One sensor in each one of two platforms was controlled according to the quality improvement they could give to a fused track. The decision criterion demonstrated is that of finding the sensor that is expected to improve the quality of the fuse track the most. Description of the experiment is followed by a discussion of sensor management in a broader perspective.
Most complex robot applications rely on use of multiple sensors and efficient algorithms. Substantial know-how has been developed for various applications, but very little got implemented in industry. The paper looks ...
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Most complex robot applications rely on use of multiple sensors and efficient algorithms. Substantial know-how has been developed for various applications, but very little got implemented in industry. The paper looks into the some of the problems and proposes a flexible and efficient controller interface that provides a platform for the integration of new algorithms and devices into existing industrial hardware.
During the last decade, there has been significant progress toward a supervised autonomous robotic capability for remotely controlled scientific exploration of planetary surfaces. While planetary exploration potential...
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ISBN:
(纸本)081944300X
During the last decade, there has been significant progress toward a supervised autonomous robotic capability for remotely controlled scientific exploration of planetary surfaces. While planetary exploration potentially encompasses many elements ranging from orbital remote sensing to subsurface drilling, the surface robotics element is particularly important to advancing in situ science objectives. Surface activities include a direct characterization of geology, mineralogy, atmosphere and other descriptors of current and historical planetary processes-and ultimately-the return of pristine samples to Earth for detailed analysis. Toward these ends, we have conducted a broad program of research on robotic systems for scientific exploration of the Mars surface, with minimal remote intervention. The goal is to enable high productivity semi-autonomous science operations where available mission time is concentrated on robotic operations, rather than up-and-down-link delays. Results of our work include prototypes for landed manipulators, long-ranging science rovers, sampling/sample return mobility systems, and more recently, terrain-adaptive reconfigurable/modular robots and closely cooperating multiple rover systems. The last of these are intended to facilitate deployment of planetary robotic outposts for an eventual human-robot sustained scientific presence. We overview our progress in these related areas of planetary robotics R&D, spanning 1995-to-present.
This paper discusses the feasibility of employing reconfigurable hardware in the avionics systems of future generations of launch vehicles for space. Such technology has the potential of being orders of magnitude fast...
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This paper discusses the feasibility of employing reconfigurable hardware in the avionics systems of future generations of launch vehicles for space. Such technology has the potential of being orders of magnitude faster than conventional embedded computer technology for many applications. It can be argued that avionics architectures that use such reconfigurable elements may vastly improve the flexibility, efficiency, performance and reusability of the avionics system. It can also be argued that such a flexible environment will facilitate the implementation of advanced and mission-specific real-time fault tolerance, avoidance, and corrective techniques and would greatly facilitate sensor/data fusion operations. However, before this technology can be applied to such safety critical applications there are several issues that must be resolved. Such issues center around the suitability and robustness of reconfigurable hardware for in-flight operation. In this paper we investigate many of these issues, focussing upon the use of reconfigurable hardware to form a generic multi-functional launch controller element that can be replicated as needed and distributed throughout the launch vehicle.
The report will highlight the final results of an Advanced Technology Demonstration effort for an enhanced all source fusion (EASF) system recently developed at the fusion Technology Branch, Air Force Research Laborat...
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ISBN:
(纸本)0819436771
The report will highlight the final results of an Advanced Technology Demonstration effort for an enhanced all source fusion (EASF) system recently developed at the fusion Technology Branch, Air Force Research Laboratory/IFEA. It will describe an innovative approach of traditional fusion algorithms and heuristic reasoning techniques to significantly improve the detection, identification, location and tracking of mobile red, blue and gray components of the electronic environment.
Information fusion includes the integration of feature data, expert knowledge, and algorithms. For example, in automatic target recognition (ATR) features of size, color, and motion can be fused to assess the combinat...
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ISBN:
(纸本)0819436771
Information fusion includes the integration of feature data, expert knowledge, and algorithms. For example, in automatic target recognition (ATR) features of size, color, and motion can be fused to assess the combination of multi-modal information. A neurofuzzy fusion of features captures the multilevel language content of sensory information by fusing neural network data analysis with rule-based decision making. Additionally, the neurofuzzy architecture can effectively fuse coarse and fine abstracted feature data at the content level for decision making. In this paper, we investigate a multilevel neuro-fuzzy feature-based architecture for synthetic aperture radar (SAR) target recognition.
This paper addresses the issue of objectively measuring the performance of pixel level image fusion systems. The proposed fusion performance metric models the accuracy with which visual information is transferred from...
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ISBN:
(纸本)0819436771
This paper addresses the issue of objectively measuring the performance of pixel level image fusion systems. The proposed fusion performance metric models the accuracy with which visual information is transferred from the input images to the fused image. Experimental results clearly indicate that the metric is perceptually meaningful.
Methodology and stages of data processing in multichannel airborne radar imaging systems are considered. It is shown that data fusion in such systems requires special techniques, algorithms, and software for image pro...
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ISBN:
(纸本)0819436771
Methodology and stages of data processing in multichannel airborne radar imaging systems are considered. It is shown that data fusion in such systems requires special techniques, algorithms, and software for image processing and information retrieval. Some approaches and methods are proposed. The results are demonstrated for simulated and real images.
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