Corrosion Monitoring Based on Recurrence Quantification Analysis of Electrochemical Noise and Machine Learning Methods
Although electrochemical noise (EN) has been studied for decades, the optimal approach for the analysis of EN data remains uncertain. This research innovatively combined the use of recurrence quantification analysis of electrochemical noise data and machine learning methods to develop models for cor...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/73525 |