MC2 - SUA: A Sensor Uncertainty Analysis Tool of Radiation Measurement Data (VAST Challenge 2019 Award - Integrated Tool with Rich Data Encodings)

Author(s):  
Shaobin Xu ◽  
Yiming Lin ◽  
Dezhan Qu ◽  
Ke Ren ◽  
Huijie Zhang
Eos ◽  
1996 ◽  
Vol 77 (49) ◽  
pp. 493-493 ◽  
Author(s):  
M. D. Cheng ◽  
Craig Hubbs ◽  
Raymond McCord

Author(s):  
W. P. J. Visser ◽  
H. Pieters ◽  
M. Oostveen ◽  
E. van Dorp

SKF’s primary tool for gas turbine engine performance analysis is GSP (Gas turbine Simulation Program), a component based modeling environment that is developed at National Aerospace Laboratory NLR and Delft University of Technology, The Netherlands. One of the applications is gas path analysis (GPA) using GSP’s generic adaptive modeling capability. With GSP, gas path analysis has been applied to different aero engines at several maintenance facilities. Additional functionalities have been developed to analyze multiple engine operating points and combine results of different adaptive modeling configurations automatically, resulting in more accurate and reliable GPA results. A ‘multi-point calibration’ method for the reference model was developed providing a significant improvement of GPA accuracy and stability. Also, a method was developed using ‘multiple analysis cycles’ on different condition indicator subsets, which successfully generated values for all condition parameters in cases with fewer measurement parameters than condition indicators and where measurement data are unreliable. The method has been successfully demonstrated on the GEM42 turbo shaft engine. A number of case studies have shown GPA results corresponding to available maintenance notes and inspection data. The extension of the GSP GPA tool with a database system provides a useful tool for analyzing engine history and comparison of analyzed component conditions throughout the fleet. When a large amount of analysis data is stored in the database, statistic analyses, trending and data mining can be performed. Also maintenance work scope effect on engine performance can be predicted. In this paper, the newly developed GSP gas path analysis functionalities are described and experiences and results with the GEM42 engine operational environment are presented.


Author(s):  
Mitsuyo Matsumoto ◽  
Atsushi Neyama

The uncertainty analysis is one approach to indicate long-term safety of a HLW disposal system. Usually it is very difficult to construct the computer code for uncertainty analysis by using individual process existing computer codes without revising source program in a short time. Because detailed modification for an uncertainty analytical function and a post-processing procedure is needed in each computer code. We have developed the uncertainty analysis tool, which can apply to any computer codes. This uncertainty analysis tool is very effective to calculate the efficiency and quality for linkage of existing individual process computer codes.


2021 ◽  
Author(s):  
Lakshya Bhatnagar ◽  
Guillermo Paniagua ◽  
David G. Cuadrado ◽  
Papa Aye N. Aye-Addo ◽  
Antonio Castillo Sauca ◽  
...  

Abstract The betterment of the turbine performance plays a prime role in all future transportation and energy production systems. Precise uncertainty quantification of experimental measurement of any performance differential is therefore essential for turbine development programs. In this paper, the uncertainty analysis of loss measurements in a high-pressure turbine vane are presented. Tests were performed on a stator geometry at engine representative conditions in a new annular turbine module called BRASTA (Big Rig for Annular Stationary Turbine Analysis) located within the Purdue Experimental Turbine Aerothermal Lab. The aerodynamic probes are described with emphasis on their calibration and uncertainty analysis, first considering single point measurement, followed by the spatial averaging implications. The change of operating conditions and flow blockage due to measurement probes are analyzed using CFD, and corrections are recommended on the measurement data. The test section and its characterization are presented, including calibration of the sonic valve. The sonic valve calibration is necessary to ensure a wide range of operation in Mach and Reynolds. Finally, the vane data are discussed, emphasizing their systematic and stochastic uncertainty.


2019 ◽  
Vol 21 (2) ◽  
pp. 79 ◽  
Author(s):  
I Putu Susila ◽  
Agung Alfiansyah ◽  
Istofa Istofa ◽  
Sukandar Sukandar ◽  
Budi Santoso ◽  
...  

Public protection is one of important issues when operating nuclear facility. In case of accident occurs, the facility owner and related organizations shall make decision whether to evacuate people or not, based on the level of the accident and radiation dose rate released to the environment. In this study, as part of the decision support system for nuclear emergency response, a prototype of mobile radiation measurement system has been developed. The device consists of Geiger-Muller (GM)-based radiation measurement board, Global Positioning System (GPS) module, microcontroller board, and low power LoRa module for communication. Radiation dose rate along with its geoposition were recorded and sent to base station equipped with LoRa gateway for connecting LoRa network to TCP/IP-based network. The measurement data is then published to storage server using Message Queuing Telemetry Transport (MQTT) protocol. Power consumption, measurement of counter/timer accuracy, communication ranges testing, and radiation dose rate measurement were performed around Puspiptek area to demonstrate the functionality of the system.Keywords: Radiation monitoring, Decision Support System, Mobile, LoRa, GPS


Author(s):  
Lakshya Bhatnagar ◽  
Guillermo Paniagua ◽  
David Gonzalez Cuadrado ◽  
Nyansafo Aye-Addo ◽  
Antonio Castillo Sauca ◽  
...  

Abstract The betterment of the turbine performance plays a prime role in all future transportation and energy production systems. Precise uncertainty quantification of experimental measurement of any performance differential is therefore essential for turbine development programs. In this paper, the uncertainty analysis of loss measurements in a high-pressure turbine vane are presented. Tests were performed on a stator geometry at engine representative conditions in a new annular turbine module called BRASTA (Big Rig for Annular Stationary Turbine Analysis) located within the Purdue Experimental Turbine Aerothermal Lab. The aerodynamic probes are described with emphasis on their calibration and uncertainty analysis, first considering single point measurement, followed by the spatial averaging implications. The change of operating conditions and flow blockage due to measurement probes are analyzed using CFD, and corrections are recommended on the measurement data. The test section and its characterization are presented, including calibration of the sonic valve. The sonic valve calibration is necessary to ensure a wide range of operation in Mach and Reynolds. Finally, the vane data are discussed, emphasizing their systematic and stochastic uncertainty.


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