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Titlebook: A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments; Edin Terzic,Jenny Terzic,Muhammad Alamgir Book 2012 Sprin

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期刊全稱A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
影響因子2023Edin Terzic,Jenny Terzic,Muhammad Alamgir
視頻videohttp://file.papertrans.cn/142/141515/141515.mp4
發(fā)行地址Investigates the effectiveness of signal enhancement on the neural network based signal classification system.Compares results obtained from the investigation with traditionally used statistical avera
圖書封面Titlebook: A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments;  Edin Terzic,Jenny Terzic,Muhammad Alamgir Book 2012 Sprin
影響因子.Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. .?.In .A neural network approach to fluid quantity measurement in dynamic environments., effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves th
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An Energy Analysis of Household Consumptionysical properties as well as some limitations of capacitive sensing are described here. The use of capacitive sensors with hazardous fluids, such as gasoline based fuels, and various configurations of capacitive sensors used in the application of fluid level measurement in dynamic environments are d
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An Energy Analysis of Household Consumptiones a methodology to be used to develop a fluid level measurement system that compensates for the effects of a dynamic environment. This involves using an intelligent signal classification approach based on an Artificial Neural Network (ANN). Signal smoothing functions that will be implemented to enh
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An Overview of Energy Consumption in India,the capacitive sensor in a dynamic environment without using the artificial neural network-based signal processing system are provided in Sect.??6.2. Results for Experiment Sets B and C consisting of raw capacitive sensor signals, training samples, and validation results are presented in the followi
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Energy Requirements and Well Being,g parameters used in the ANN-based measurement system and the results obtained from the experimentations, and the possible improvements to design of the ANN based system, are all discussed in this section.
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https://doi.org/10.1007/978-1-349-04376-7y determine the fuel level in an automotive fuel tank under dynamic conditions. A comprehensive literature review was conducted on the usage of capacitive sensors in dynamic environments and on the characteristics and effective use of ANNs. Based on the findings of the literature review, a capacitiv
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