Data Mining Applied to the Electrochemical Noise Technique in the Time/Frequency Domain for Stress Corrosion Cracking Recognition

Data Mining Applied to the Electrochemical Noise Technique in the Time/Frequency Domain for Stress Corrosion Cracking Recognition

In this paper, time/frequency domain data processing was proposed to analyse the EN signal recorded during stress corrosion cracking on precipitation-hardening martensitic stainless steel in a chloride environment. Continuous Wavelet Transform, albeit with some limitations, showed a suitable support...

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Bibliographic Details
Main Authors: Luigi Calabrese, Massimiliano Galeano, Edoardo Proverbio
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Corrosion and Materials Degradation
Subjects:
electrochemical noise
stress corrosion cracking
Hilbert–Huang Transform
data mining
Online Access:https://www.mdpi.com/2624-5558/4/4/34

Internet

https://www.mdpi.com/2624-5558/4/4/34

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