Improving the peak wavelength detection accuracy of Sn-doped, H2-loaded FBG high temperature sensors by wavelet filter and Gaussian curve fitting

2012 ◽  
Vol 174 ◽  
pp. 91-95 ◽  
Author(s):  
Xiaoyan Wen ◽  
Dongsheng Zhang ◽  
Yu Qian ◽  
Jieyan Li ◽  
Nie Fei
Keyword(s):  
High Temperature ◽  
Curve Fitting ◽  
Temperature Sensors ◽  
Detection Accuracy ◽  
Wavelet Filter ◽  
Peak Wavelength ◽  
Gaussian Curve ◽  
Wavelength Detection

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

2012 ◽  
Vol 19 (2) ◽  
pp. 381-394
Author(s):  
José Pereira ◽  
Octavian Postolache ◽  
Pedro Girão
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Measurement System ◽  
Curve Fitting ◽  
System Performance ◽  
Redox Potentials ◽  
Voltage Sweep ◽  
Gaussian Curve ◽  
Fitting Method ◽  
Curve Fitting Method

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

Application of fiber optic high temperature sensors for structural monitoring of structures submitted to fire

2014 ◽  
Vol 102 (7) ◽  
pp. 2932-2938 ◽  
Author(s):  
Paula Rinaudo ◽  
Benjamín Torres Górriz ◽  
David Barrera Villar ◽  
Ignacio Payá Zaforteza ◽  
Pedro Calderon Garcia ◽  
...  
Keyword(s):  
High Temperature ◽  
Fiber Optic ◽  
Temperature Sensors ◽  
Structural Monitoring

High-Temperature, High-Bandwidth Fiber Optic Pressure and Temperature Sensors for Gas Turbine Applications

2004 ◽  
Author(s):  
Robert Fielder ◽  
Matthew Palmer ◽  
Wing Ng ◽  
Matthew Davis ◽  
Aditya Ringshia
Keyword(s):  
High Temperature ◽  
Gas Turbine ◽  
Fiber Optic ◽  
Temperature Sensors ◽  
High Bandwidth

ANALYSIS OF MEASURED THALASSINOIDES ISP. DIAMETERS ACROSS THE CRETACEOUS-PALEOGENE BOUNDARY AT SEWELL, NJ (USA) USING GAUSSIAN CURVE-FITTING

2018 ◽  
Author(s):  
David E. Grandstaff ◽  
◽  
Logan A. Wiest ◽  
Ilya V. Buynevich ◽  
Dennis O. Terry
Keyword(s):  
Curve Fitting ◽  
Gaussian Curve

New Generation of SiC Based Biodevices Implemented on 4” Wafers

2010 ◽  
Vol 645-648 ◽  
pp. 1097-1100 ◽  
Author(s):  
Phillippe Godignon ◽  
Iñigo Martin ◽  
Gemma Gabriel ◽  
Rodrigo Gomez ◽  
Marcel Placidi ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Silicon Carbide ◽  
High Temperature ◽  
Temperature Sensors ◽  
Biomedical Devices ◽  
Power Semiconductor ◽  
Power Semiconductor Devices ◽  
New Generation ◽  
Growth Technology ◽  
Biosensor Applications

Silicon Carbide is mainly used for power semiconductor devices fabrication. However, SiC material also offers attractive properties for other types of applications, such as high temperature sensors and biomedical devices. Micro-electrodes arrays are one of the leading biosensor applications. Semi-insulating SiC can be used to implement these devices, offering higher performances than Silicon. In addition, it can be combined with Carbon Nanotubes growth technology to improve the devices sensing performances. Other biosensors were SiC could be used are microfluidic based devices. However, improvement of SiCOI starting material is necessary to fulfill the typical requirements of such applications.

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