Design and Application of Mixed Natural Gas Monitoring System Using Artificial Neural Networks
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Ning Wang | Xin Li | Bing Li | Shaochong Lei | Jinlei Wang | Bingjie Lei | Peiyuan Ma | Sai Lian
[1] R. Brereton,et al. Quantitative resolution of overlapping tailing peaks obtained by diode-array detector high performance liquid chromatography in the absence of pure standards using simple chemical knowledge , 2000 .
[2] Jong-Hyeok Choi,et al. Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array , 2018, Sensors.
[3] A. Mishra,et al. A novel modular ANN architecture for efficient monitoring of gases/odours in real-time , 2018 .
[4] Mokhtar Attari,et al. Gas Sensors Characterization and Multilayer Perceptron (MLP) Hardware Implementation for Gas Identification Using a Field Programmable Gate Array (FPGA) , 2013, Sensors.
[5] Lu Peichang,et al. Correction method for quantitative area determination of overlapping chromatographic peaks based on the exponentially modified gaussian (EMG) model , 1987 .
[7] Jatmiko Endro Suseno,et al. Information System Prediction With Weighted Moving Average (WMA) Method And Optimization Distribution Using Vehicles Routing Problem (VRP) Model for Batik Product , 2018 .
[8] Wolfram Bremser,et al. Analysis of natural gas by gas chromatography reduction of correlated uncertainties by normalisation. , 2004, Journal of chromatography. A.
[9] M. Shamsuzzaman,et al. An improved design of exponentially weighted moving average scheme for monitoring attributes , 2020, Int. J. Prod. Res..
[10] Zlatica Marinkovic,et al. Soft Sensors Based on Deep Neural Networks for Applications in Security and Safety , 2020, IEEE Transactions on Instrumentation and Measurement.
[11] Yang Yu,et al. Multi-component optical sensing of high temperature gas streams using functional oxide integrated silica based optical fiber sensors , 2018 .
[12] Dawei Wang,et al. Quantitative Detection of Mixed Gases by Sensor Array Using C-Means Clustering and Artificial Neural Network , 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.
[13] Muhammad Taha Jilani,et al. Application of IoT and Artificial Neural Networks (ANN) for Monitoring of Underground Coal Mines , 2020, 2020 International Conference on Information Science and Communication Technology (ICISCT).
[14] Maria Chiara Pietrogrande,et al. A Quantitative Theory of the Statistical Degree of Peak Overlapping in Chromatography , 2000 .
[15] Boris Mizaikoff,et al. An innovative modular eNose system based on a unique combination of analog and digital MOX sensors. , 2019, ACS sensors.
[16] Rajib Bandyopadhyay,et al. Calibration transfer between electronic nose systems for rapid in situ measurement of pulp and paper industry emissions. , 2014, Analytica chimica acta.
[17] Zhongming Wang,et al. Design and Application of Toxic and Harmful Gas Monitoring System in Fire Fighting , 2019, Sensors.
[18] J. Brenna,et al. Curve fitting for restoration of accuracy for overlapping peaks in gas chromatography/combustion isotope ratio mass spectrometry. , 1994, Analytical chemistry.
[19] D. Jaeger,et al. Semi-conductor metal oxide gas sensors for online monitoring of oak wood VOC emissions during drying , 2019, Drying Technology.
[20] Alexandre Caron,et al. Identification of indoor air quality events using a K-means clustering analysis of gas sensors data , 2019, Sensors and Actuators B: Chemical.
[21] S. W. Roberts,et al. Control Chart Tests Based on Geometric Moving Averages , 2000, Technometrics.
[22] Downhole measurements and determination of natural gas composition using Raman spectroscopy , 2019, Journal of Natural Gas Science and Engineering.
[23] V. Kutcherov,et al. Review of impacts of gas qualities with regard to quality determination and energy metering of natural gas , 2019, Measurement Science and Technology.
[24] Sigmund Mongstad Hope,et al. Gas composition tracking in transient pipeline flow , 2018, Journal of Natural Gas Science and Engineering.
[25] S. Samuelsen,et al. The role of natural gas and its infrastructure in mitigating greenhouse gas emissions, improving regional air quality, and renewable resource integration , 2018 .
[26] Dan Zhao,et al. Mixed Natural Gas Online Recognition Device Based on a Neural Network Algorithm Implemented by an FPGA , 2019, Sensors.