scholarly journals Comparison of pH Data Measured with a pH Sensor Array Using Different Data Fusion Methods

Sensors ◽  
2012 ◽  
Vol 12 (9) ◽  
pp. 12098-12109 ◽  
Author(s):  
Yi-Hung Liao ◽  
Jung-Chuan Chou
Keyword(s):  
Data Fusion ◽  
Sensor Array ◽  
Ph Sensor ◽  
Fusion Methods

scholarly journals Coil Positioning for Wireless Power Transfer System of Automatic Guided Vehicle Based on Magnetic Sensing

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5304
Author(s):  
Ce Liang ◽  
Yanchi Zhang ◽  
Zhonggang Li ◽  
Feng Yuan ◽  
Guang Yang ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Data Fusion ◽  
Flux Density ◽  
Sensor Array ◽  
Wireless Power Transfer ◽  
Magnetic Flux Density ◽  
Power Transfer ◽  
Wireless Power ◽  
Automatic Guided Vehicle ◽  
Receiving Coil

As an auxiliary function of the wireless power transfer (WPT) system, coil positioning can solve the power and efficiency degradation during power transmission caused by misalignment of the magnetic coupler. In this paper, a Hall sensor array is used to measure the change of magnetic flux density. By comparing the multisensor data fusion results with the preset data obtained from the coil alignment, the real-time accurate positioning of the receiving coil can be realized. Firstly, the positioning model of the receiving coil is built and the variation of magnetic flux density with the coil misalignment is analyzed. Secondly, the arrangement of the Planar 8-direction symmetric sensor array and the positioning algorithm based on data fusion of magnetic flux density variations are proposed. In order to avoid coil positioning misalignment caused by the unstable magnetic field distribution which is actually affected by the change of mutual inductance during automatic guided vehicle (AGV) alignment, the constant current strategy of primary and secondary sides is proposed. Finally, the coil positioning experimental platform is built. The experimental results show that the coil positioning method proposed in this paper has high accuracy, and the positioning error is within 4 cm.

scholarly journals Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW

Sensors ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 17281-17291 ◽  
Author(s):  
Yi-Hung Liao ◽  
Jung-Chuan Chou ◽  
Chin-Yi Lin
Keyword(s):  
Fault Diagnosis ◽  
Data Fusion ◽  
Ph Sensor ◽  
Sensor Arrays ◽  
Measured Data

scholarly journals A low-cost flexible pH sensor array for wound assessment

2016 ◽  
Vol 229 ◽  
pp. 609-617 ◽  
Author(s):  
Rahim Rahimi ◽  
Manuel Ochoa ◽  
Tejasvi Parupudi ◽  
Xin Zhao ◽  
Iman K. Yazdi ◽  
...  
Keyword(s):  
Sensor Array ◽  
Low Cost ◽  
Ph Sensor ◽  
Wound Assessment

scholarly journals Gas Leak Location Detection Based on Data Fusion with Time Difference of Arrival and Energy Decay Using an Ultrasonic Sensor Array

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2985 ◽  
Author(s):  
Tao Wang ◽  
Xiaoran Wang ◽  
Mingyu Hong
Keyword(s):  
Data Fusion ◽  
Sensor Array ◽  
Three Dimensional ◽  
Energy Decay ◽  
Ultrasonic Sensor ◽  
Time Difference Of Arrival ◽  
Leak Location ◽  
Gas Leak ◽  
Location Algorithm ◽  
The Individual

Ultrasonic gas leak location technology is based on the detection of ultrasonic waves generated by the ejection of pressured gas from leak holes in sealed containers or pipes. To obtain more accurate leak location information and determine the locations of leak holes in three-dimensional space, this paper proposes an ultrasonic leak location approach based on multi-algorithm data fusion. With the help of a planar ultrasonic sensor array, the eigenvectors of two individual algorithms, i.e., the arrival distance difference, as determined from the time difference of arrival (TDOA) location algorithm, and the ratio of arrival distances from the energy decay (ED) location algorithm, are extracted and fused to calculate the three-dimensional coordinates of leak holes. The fusion is based on an extended Kalman filter, in which the results of the individual algorithms are seen as observation values. The final system state matrix is composed of distances between the measured leak hole and the sensors. Our experiments show that, under the condition in which the pressure in the measured container is 100 kPa, and the leak hole–sensor distance is 800 mm, the maximum error of the calculated results based on the data fusion location algorithm is less than 20 mm, and the combined accuracy is better than those of the individual location algorithms.

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