Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 15; p. 5030
• Main Authors: Angulo, Ángela, Mares, Cristinel, Gan, Tat-Hean
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 24.07.2021; MDPI
• Subjects: Acoustics; Corrosion; Crack initiation; Crack propagation; Diagnostic tests; Failure; fatigue crack growth; Feasibility studies; filtering criterion; high-frequency signals; Investigations; Load; Medical diagnosis; mooring chains; parametrical analysis; signal feature extraction; Signal processing; Strain gauges
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21155030

Mooring systems are an integral and sophisticated component of offshore assets and are subject to harsh conditions and cyclic loading. The early detection and characterisation of fatigue crack growth remain a crucial challenge. The scope of the present work was to establish filtering and alarm criteria for different crack growth stages by evaluating the recorded signals and their features. The analysis and definition of parametrical limits, and the correlation of their characteristics with the crack, helped to identify approaches to discriminate between noise, initiation, and growth-related signals. Based on these, a filtering criterion was established, to support the identification of the different growth stages and noise with the aim to provide early warnings of potential damage.