Distributed sensor fusion for RFS density with consideration of limited sensing ability

2017 ◽  
Author(s):  
Wei Yi ◽  
Meng Jiang ◽  
Suqi Li ◽  
Bailu Wang
Keyword(s):  
Sensor Fusion ◽  
Distributed Sensor ◽  
Limited Sensing

Sensor Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems With Distributed Sensing

1998 ◽  
Vol 122 (1) ◽  
pp. 215-226 ◽  
Author(s):  
A. Khan ◽  
D. Ceglarek
Keyword(s):  
Optimization Procedure ◽  
Hierarchical Optimization ◽  
Dual Purpose ◽  
Distributed Sensor ◽  
Sensor Optimization ◽  
Multi Level ◽  
Sensor Configuration ◽  
Limited Sensing ◽  
Sheet Metal Assembly ◽  
Efficient Distribution

Sensing for the system-wide diagnosis of dimensional faults in multi-fixture sheet metal assembly presents significant issues of complexity due to the number of levels of assembly and the number of possible faults at each level. The traditional allocation of sensing at a single measurement station is no longer sufficient to guarantee adequate fault diagnostic information for the increased parts and levels of a complex assembly system architecture. This creates a need for an efficient distribution of limited sensing resources to multiple measurement locations in assembly. The proposed methodology achieves adequate diagnostic performance by configuring sensing to provide an optimally distinctive signature for each fault in assembly. A multi-level, two-step, hierarchical optimization procedure using problem decomposition, based on assembly structure data derived directly from CAD files, is used to obtain such a novel, distributed sensor configuration. Diagnosability performance is quantified in the form of a defined index, which serves the dual purpose of guiding the optimization and establishing the diagnostic worth of any candidate sensor distribution. Examples, using a multi-fixture layout, are presented to illustrate the methodology. [S1087-1357(00)70801-X]

Tree-structured sensor fusion architecture for distributed sensor networks

1990 ◽  
Author(s):  
S. Sitharama Iyengar ◽  
Rangasami L. Kashyap ◽  
Rabinder N. Madan ◽  
Daryl D. Thomas
Keyword(s):  
Sensor Networks ◽  
Sensor Fusion ◽  
Distributed Sensor Networks ◽  
Distributed Sensor

Sensor Fusion for Intrusion Detection With Sensor Networks

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 275-282 ◽  
Author(s):  
Bence Koszteczky ◽  
Gyula Simon
Keyword(s):  
Sensor Fusion ◽  
Energy Efficient ◽  
Base Station ◽  
Sensor Technology ◽  
Fusion Algorithm ◽  
Distributed Sensor ◽  
Distributed Sensor Network ◽  
Sensor Devices ◽  
Central Base ◽  
Real Test

AbstractA sensor fusion algorithm is proposed, which can be used to fuse measurements from a distributed sensor network, containing inexpensive, easily deployable and energy efficient magnetic sensor devices. The sensor measurements are collected and transferred to a central base station, where the sensor fusion is performed, using the sensor location. The algorithm provides location, direction, and speed information about the detected vehicles. The paper describes the sensor technology and the fusion method, and the performance of the system is illustrated by real test measurements.

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