Single Sensor Information Fusion for Local Fault Prediction of Large Rotating Machinery

2010 ◽  
Author(s):  
Sun Jianghong ◽  
Zuo Yunbo ◽  
Xu Xiaoli
Keyword(s):  
Information Fusion ◽  
Rotating Machinery ◽  
Fault Prediction ◽  
Single Sensor ◽  
Sensor Information

A Vehicle On-Board Alcohol Detection System Based on Integrated Multi-Sensors

2012 ◽  
Vol 490-495 ◽  
pp. 91-94 ◽  
Author(s):  
Li Fu ◽  
Jun Xiang Wang
Keyword(s):  
Embedded System ◽  
Information Fusion ◽  
Detection System ◽  
High Sensitivity ◽  
Visual Sensor ◽  
Dangerous Driving ◽  
Alcohol Sensor ◽  
Single Sensor ◽  
Sensor Information ◽  
Current Detection

A design and implementation of a detection system for dangerous driving was proposed based on multi-sensor-fusion. It is actually an embedded system consisting of visual,sensor, acceleration sensor, alcohol sensor input, and ARM cortex-M3 microcontroller. Experiment results show that the system has high linearity, high sensitivity,and excellent real-time performance. It can be further used to validate the multi-sensor information fusion algorithms in the field for improving the low reliability of the current detection by using one single-sensor method

The Research on Fuzzy Neural Networks in the Multi-Sensor Information Fusion of Intelligent Robots

2011 ◽  
Vol 225-226 ◽  
pp. 115-119
Author(s):  
Lian Jun Hu ◽  
Hong Song ◽  
Yi Luo ◽  
Xiao Hui Zeng ◽  
Bing Qiang Wang
Keyword(s):  
Neural Networks ◽  
Information Fusion ◽  
Fault Tolerant ◽  
Fuzzy Neural Networks ◽  
Infrared Sensors ◽  
Intelligent Robots ◽  
Vision Sensors ◽  
Fuzzy Neural ◽  
Single Sensor ◽  
Sensor Information

A controller based on fuzzy neural network is designed in the paper. Fuzzy neural networks are introduced into the information fusion of signals from sensors of an AS-R intelligent robot. Characteristic information of unknown environments acquired by ultrasonic sensors, infrared sensors and vision sensors are fused together in order to eliminate uncertainty caused by single sensor. Therefore, precise environment information can be obtained and the fault tolerant capabilities of robots are improved. It is proved that intelligent robots adopting multi-sensor information fusing techniques have better real-time and robust characteristics according to simulation results.

The Application of Distributed Multi-Sensor Information Fusion Technology in Underwater Vehicle

2012 ◽  
Vol 532-533 ◽  
pp. 1006-1010 ◽  
Author(s):  
Ye Li ◽  
Yan Qing Jiang
Keyword(s):  
Mathematical Model ◽  
Kalman Filtering ◽  
Information Fusion ◽  
Underwater Vehicle ◽  
System Structure ◽  
Experimental Result ◽  
Fusion Technology ◽  
Fusion Algorithm ◽  
Single Sensor ◽  
Sensor Information

The application of distributed multi-sensor information fusion technology in accurate positioning of Underwater Vehicle was introduced in this paper. According to the system structure of Distributed multi-sensor in an AUV “T1”, this article establishes the Kalman filtering mathematical model, accomplishes the fusion algorithm based on Kalman filtering and a numerical simulation. The experimental result shows that the application of fusion algorithm based on Kalman filtering can avoid the limitations of a single sensor, reduce its uncertainty impact and increase the confidence level of data.

Based on D - S Evidence Theory of Solution Concentration Detection Method Research

2014 ◽  
Vol 494-495 ◽  
pp. 869-872
Author(s):  
Xian Bao Wang ◽  
Shi Hai Zhao ◽  
Guo Wei
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Solution Concentration ◽  
Sensor Data ◽  
Fusion Technology ◽  
Feedback Information ◽  
Multiple Sensors ◽  
Multi Sensor Data Fusion ◽  
Single Sensor ◽  
Sensor Information

According to the theory of multi-sensor information fusion technology, based on D - S evidence theory to fuse of multiple sensors feedback information from different angles for detecting solution concentration, and achieving the same judgment; This system uses of D - S evidence theory of multi-sensor data fusion method, not only make up the disadvantages of using a single sensor, but also largely reduce the uncertainty of the judgment. Additionally this system improves the rapidity and accuracy of the solution concentration detection, and broadens the application field of multi-sensor information fusion technology.

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