Testing the Accuracy of Machine Learning-based Crack Localization Methods using Damage Localization Coefficients
Main Article Content
Abstract
Artificial intelligence is often used to assess the integrity of engineering structures. Many methods are available to assess different types of damage, but the correctness of the results is not proven until local inspection methods are applied. Therefore, there is a need to develop a tool that can estimate the accuracy of the assessment process through a supplementary intervention. In this paper, we propose and test a procedure to establish the accuracy of the damage assessment results, which is the follow-up of a normal damage assessment process. First, we assess the damage involving a method previously developed by the authors that consider the relative frequency shifts (RFS) for several bending vibration modes. The method has the support of artificial neural networks (ANN). Applying this method, we estimate the location and severity of the damage. Next, we apply a procedure that presumes first to calculate the modal curvatures and the resulting damage location coefficients (DLC) for this location. Then, we normalize the RFSs used in the assessment process and compare them with the DLCs derived analytically for the presumed damage location. Finally, we compare the DLCs with the normalized RFSs via the Euclidian distance. This comparison shows how accurately we assessed the damage location, the smaller the distance, the better the prediction. Applying this procedure as a follow-up of a standard damage detection process, we know the accuracy of the assessment prediction realized with a standard detection method. If the accuracy is unsatisfactory, we can use an ANN model that is trained with data from the supposedly defective area.
Downloads
Article Details
Journal author rights
In order for Romanian Journal of Acoustics and Vibration to publish and disseminate research articles, we need publishing rights. This is determined by a publishing agreement between the author and Romanian Journal of Acoustics and Vibration. This agreement deals with the transfer or license of the copyright to Romanian Journal of Acoustics and Vibration and authors retain significant rights to use and share their own published articles. Romanian Journal of Acoustics and Vibration supports the need for authors to share, disseminate and maximize the impact of their research and these rights, in Romanian Journal of Acoustics and Vibration proprietary are defined below:
For subscription articles:
Authors transfer copyright to the publisher as part of a journal publishing agreement, but have the right to: Share their article for personal use (manuscript version); retain patent, trademark and other intellectual property rights (including research data); proper attribution and credit for the published work.
For open access articles:
Authors sign an exclusive license agreement, where authors have copyright but license exclusive rights in their article to the publisher. In this case authors have the right to: share their article in the same ways permitted to third parties under the relevant user license; retain patent, trademark and other intellectual property rights (including research data); proper attribution and credit for the published work.
Rights granted to Romanian Journal of Acoustics and Vibration
For both subscription and open access articles, published in proprietary titles, Romanian Journal of Acoustics and Vibration is granted the following rights:
- The exclusive right to publish and distribute an article, and to grant rights to others, including for commercial purposes;
- For open access articles, Romanian Journal of Acoustics and Vibration will apply the relevant third party user licence (Open access licencses) where Romanian Journal of Acoustics and Vibration publishes the article on its online platforms;
- The right to provide the article in all forms and media so the article can be used on the latest technology even after publication;
- The authority to enforce the rights in the article, on behalf of an author, against third parties, for example in the case of plagiarism or copyright infringement.