Version 1
: Received: 2 October 2024 / Approved: 3 October 2024 / Online: 3 October 2024 (10:55:11 CEST)
How to cite:
Singh, I.; Arora, V.; Babu, P.; Mulaveesala, R. Novel Statistical Analysis Schemes for Thermal Non-Destructive Testing and Evaluation of Hardened Steel Materials Used in Ship Building. Preprints2024, 2024100228. https://doi.org/10.20944/preprints202410.0228.v1
Singh, I.; Arora, V.; Babu, P.; Mulaveesala, R. Novel Statistical Analysis Schemes for Thermal Non-Destructive Testing and Evaluation of Hardened Steel Materials Used in Ship Building. Preprints 2024, 2024100228. https://doi.org/10.20944/preprints202410.0228.v1
Singh, I.; Arora, V.; Babu, P.; Mulaveesala, R. Novel Statistical Analysis Schemes for Thermal Non-Destructive Testing and Evaluation of Hardened Steel Materials Used in Ship Building. Preprints2024, 2024100228. https://doi.org/10.20944/preprints202410.0228.v1
APA Style
Singh, I., Arora, V., Babu, P., & Mulaveesala, R. (2024). Novel Statistical Analysis Schemes for Thermal Non-Destructive Testing and Evaluation of Hardened Steel Materials Used in Ship Building. Preprints. https://doi.org/10.20944/preprints202410.0228.v1
Chicago/Turabian Style
Singh, I., Prabhu Babu and Ravibabu Mulaveesala. 2024 "Novel Statistical Analysis Schemes for Thermal Non-Destructive Testing and Evaluation of Hardened Steel Materials Used in Ship Building" Preprints. https://doi.org/10.20944/preprints202410.0228.v1
Abstract
In the field of Thermal Non-Destructive Testing and Evaluation (TNDT&E), active thermography gained popularity due to its fast, wide area monitoring and remote inspection capability to assess materials without compromising their future usability. Among the various active thermographic methods, pulse compression favourable frequency-modulated thermal wave imaging stands out for its enhanced detectability and depth resolution. In this study, experimental investigation has been carried out on a hardened steel sample used in ship building industry with a flat-bottom hole simulated defect using the Frequency Modulated Thermal Wave Imaging (FMTWI) technique. And the defect detection capabilities of FMTWI have been investigated from various statistical post processing approaches and compared by taking Signal to Noise Ration (SNR) as a figure of merit. Among various adopted statistical post-processing techniques, the pulse compression has been carried out using different methods: offset removal with polynomial curve fitting, and Principal Component Analysis (PCA) which is an unsupervised learning approach for data reduction and offset removal with median centering for data standardization. The performance of these techniques was assessed through experimental investigations on hardened steel specimen used in ship building to provide valuable insights into their effectiveness in defect detection capabilities.
Keywords
Non-Destructive Testing and Evaluation; Frequency Modulated Thermal Wave Imaging; Principal Component Analysis; Pulse Compression; Principal Component Thermography
Subject
Engineering, Safety, Risk, Reliability and Quality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
