2016
DOI: 10.12989/smm.2016.3.4.335
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The thermal effect on electrical capacitance sensor for two-phase flow monitoring

Abstract: One of major errors in flow rate measurement for two-phase flow using an Electrical Capacitance Sensor (ECS) concerns sensor sensitivity under temperature raise. The thermal effect on electrical capacitance sensor (ECS) system for air-water two-phase flow monitoring include sensor sensitivity, capacitance measurements, capacitance change and node potential distribution is reported in this paper. The rules of 12-electrode sensor parameters such as capacitance, capacitance change, and change rate of capacitance … Show more

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Cited by 14 publications
(4 citation statements)
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“…An artificial neural network (ANN) is a machine learning algorithm used to solve advanced nonlinear problems such as handwriting or speech recognition [36][37][38][39][40][41][42][43][44]. Neural networks connect computational nodes together to form a singular network, where each computational node is performing a calculation on its input and outputting the result to all outgoing connections.…”
Section: Artificial Neural Networkmentioning
confidence: 99%
“…An artificial neural network (ANN) is a machine learning algorithm used to solve advanced nonlinear problems such as handwriting or speech recognition [36][37][38][39][40][41][42][43][44]. Neural networks connect computational nodes together to form a singular network, where each computational node is performing a calculation on its input and outputting the result to all outgoing connections.…”
Section: Artificial Neural Networkmentioning
confidence: 99%
“…The user of an active system of structural health monitoring (SHM) to observe the safety and potential damage detection in composite plates are essential and most seriously. The function of SHM is consists of three main sub-functions, including system identification, features extraction for algorithms for detection and prediction, and reliability and risk evaluation [8][9][10][11][12][13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Subsequently, a large number of methods for crack parameter identification in structures have been proposed by researchers to monitor the presence and potential growth of cracks. 5–14 Given that vibration analysis is a common approach for the performance assessment of structures, fundamental dynamic characteristics, such as mode shapes and natural frequencies of a structure, are viable metrics for assessing the deterioration of a structure and numerous detection techniques have been introduced that are based on these inherent dynamic characteristics. 1522…”
Section: Introductionmentioning
confidence: 99%