Abstract
More attention is paid to on-line monitoring of biofouling in industrial water process systems. Combined optical fiber self-referencing technology with artificial neural networks (ANN) technology, real time detection technique for forming thickness and ingredient is put forward, which provides technical support and reliable data for analyzing biofouling influencing factors, contaminant separation and warning. Unclad fiber sensing mechanism and self-referencing fiber optic sensor are presented. Compensation technology based on radial basis function (RBF) neural network and learning algorithm are studied in order to solve the problem of measurement precision and range. Biofouling forming and optical characteristics in industrial real water systems are researched. A new method is provided for the research on biofouling in real water system, which can be used in other fields such as mining, environment protection, medical treatment and transportation of oil, gas and water.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
