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  • In Jour Smart Sensing And Intelligent Systems

 

Research Article

DEVELOPMENT OF SOFT SENSOR TO ESTIMATE MULTIPHASE FLOW RATES USING NEURAL NETWORKS AND EARLY STOPPING

This paper proposes a soft sensor to estimate phase flow rates utilizing common measurements in oil and gas production wells. The developed system addresses the limited production monitoring due to using common metering facilities. It offers a cost-effective solution to meet real-time monitoring demands, reduces operational and maintenance costs, and acts as a back-up to multiphase flow meters. The soft sensor is developed using feed-forward neural network, and generalization and network

Tareq Aziz AL-Qutami, Rosdiazli Ibrahim, Idris Ismail, Mohd Azmin Ishak

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 199–222

Article

DESIGN AND IMPLEMENTATION OF INTELLIGENT INTEGRATED MEASURING AND CONTROLLING SYSTEM FOR SUGAR CANE CRYSTALLIZATION PROCESS

integrated measuring and controlling system is researched by this paper. The overall structure of this system is designed at first, and also the monitoring system of host computer is developed. Combining with data-driven modeling and hybrid modeling method, the intelligent soft-sensor component for sugar cane crystallization process is implemented. This system realizes automatic monitoring of sugar cane crystallization process, which includes on-line measurement of mother liquor supersaturation, mother

Yanmei Meng, Kangyuan Zheng, Wenxing Li, Haifeng Pang, Guancheng Lu, Guangquan Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1687–1705

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