Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications
Journal article
Wasif, R., Tokhi, M.O., Rudlin, J., Shirkoohi, G. and Duan, F. (2023). Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications. Sensors. 23 (4), p. 2212. https://doi.org/10.3390/s23042212
Authors | Wasif, R., Tokhi, M.O., Rudlin, J., Shirkoohi, G. and Duan, F. |
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Abstract | Electromagnetic techniques are widely employed for corrosion detection, and their performance for inspection of corrosion is well established. However, limited work is carried out on the development and reliability of smart corrosion monitoring devices for tracking internal or buried thickness loss due to corrosion remotely. A novel smart magnetic corrosion transducer is developed for long-term monitoring of thickness loss due to corrosion at critical locations. The reliability of the transducer is enhanced by using a dissimilar active redundancy approach. The improved corrosion monitor has been tested in the ambient environment for seven months to evaluate the stability against environmental factors and degradation. The monitor is found to show great sensitivity to detect defects due to corrosion. Detection of anomalous patterns in the time series data received from the monitors is accomplished by using Pearson’s correlation coefficient. The critical component of the monitor is identified at the end of the test. Research findings reveal that, compared to the existing corrosion monitoring techniques in the industry, the detection and isolation of faulty sensor features introduced in this study can contribute to reliable monitoring of thickness loss due to corrosion in ferromagnetic structures over an extended period of time |
Year | 2023 |
Journal | Sensors |
Journal citation | 23 (4), p. 2212 |
Publisher | MDPI |
ISSN | 1424-8220 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/s23042212 |
Web address (URL) | https://doi.org/10.3390/s23042212 |
Publication dates | |
Online | 16 Feb 2023 |
Publication process dates | |
Accepted | 09 Feb 2023 |
Deposited | 17 Feb 2023 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/93438
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