IEEE - Institute of Electrical and Electronics Engineers, Inc. - Data-driven machine learning approach for predicting volumetric moisture content of concrete using resistance sensor measurements

2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)

Author(s): Karthick Thiyagarajan ; Sarath Kodagoda ; Nalika Ulapane
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2016
Conference Location: Hefei, China
Conference Date: 5 June 2016
Page(s): 1,288 - 1,293
ISBN (Electronic): 978-1-4673-8644-9
ISBN (USB): 978-1-5090-2605-0
ISSN (Electronic): 2158-2297
DOI: 10.1109/ICIEA.2016.7603783
Regular:

In sewerage industry, hydrogen sulphide induced corrosion of reinforced concretes is a global problem. To achieve a comprehensive knowledge of the propagation of concrete corrosion, it is vital to... View More

Advertisement