European Research Day (ERD) Academia NDT International Workshop : Nonlinear Signal Processing for NDT 4.0
More info about this article: http://www.ndt.net/?id=22999
Serge Dos Santos1*,, Zdenek Prevorovsky2*, Christophe Mattei3, Valeriy Vengrinovich4*, Giuseppe Nardoni5* and Julian Wright6 1
: INSA Centre Val de Loire, Blois Campus; UMR 1253, Imaging and Brain : iBrain, Université de Tours, Inserm, 3 rue de la Chocolaterie, CS23410, 41034 Blois, France,
[email protected] 2 : Institute of Thermomechanics AS CR, v.v.i., Dolejskova 5, CZ-18200, Prague 8, Czech Republic 3 : Creo Dynamics AB; Westmansgatan 37, 582 16 Linköping, Sweden 4 :Institute of Applied Physics, Minsk, Belarus 5 : IT Nardoni Institute, Via Della Cascina Pontevica 21, Brescia 25010, Italy 6 : Theta Technologies, Exeter, Devon EX4 4RN, United Kingdom * Academia NDT International, Brescia, Italy
Keywords: Nonlinear US, signal processing, data reduction, imaging, harmonics, modulations, resonance, standardization, NDT Integrity Engineering, Big data, Artificial Intelligence Extended Abstract. The growing interest for nondestructive testing (NDT) methods based on nonlinear acoustic effects in solids has increased continuously since the first studies in the early 1980s [1, and refs therein]. It has been shown that micro-inhomogeneities such as cracks lead to an anomalously high level of nonlinearity and dispersion. In particular, nonlinear ultrasonic (US) has become increasingly important due to the increase of higher sensitivity of electronic instrumentation and its associate signal processing algorithms. NDT is now widely recognized as an own field of science and technology covering a very broad range of industrial applications. Instrumentation for NDT Integrity Engineering [2] needs basics from applied physics and will concern all disciplines of engineering, including applied mathematics, computer science, modern automation and robotics, big data and artificial intelligence for Industry 4.0. The nonlinearity of materials results in nonlinear effects, which arise from defects in the materials[3]. Applications include nonlinear nondestructive testing (NDT), harmonic medical ultrasound imaging[4, and refs therein] and development of new materials such as nanocomposite. One of the strategic plan of the international NDT community is to define standards for developing nonlinear NDT for automated set-up in mass production [5]. The main perspective of this workshop is contact and non-contact characterizations of materials and structures for modern NDT 4.0 based industries. In many cases results, measured with NDT techniques, cannot be turned directly into object parameters under search. Examples: stress value determined by magnetic technique, or high height building stability determined with multisensor set, having in the output a big data matrix. In this case one have to establish nonlinear mapping of measured data with critical object’s parameters. This needs big data reduction performed with an Artificial Intelligence (AI) and mapping of reduced data [6] with critical parameters of an object, the last modeling being always nonlinear. The solution of this multiproblem could help to come to different understanding of NDE problems considering safety of big objects like civil structures. The development of AI within the NDT community has been introduced several years ago by Academia NDT Full Member Sotirios Vahaviolos [7] with the objective to couple existent data
bases in order to provide knowledge based systems to be used on every complex structures. Applying AI for increasing the reliability of NDT decision making should be investigated during the following years. Researchers and engineers should explore AI and promote its importance in NDT4.0 [8]. Various applications of AI such as signal processing and image processing are provided in medical imaging. NDT Expert system should be defined and it is mentioned that the basic components of an NDT expert system should be a “knowledge base”, where information in is obtained by interviewing people who are experts in the area in question. The objective of this workshop will be used to prepare a guideline for application of this technique. The working plan is to analyze strengths, weaknesses, opportunities and threats (SWOT) within the area of experimental nonlinear NDT. [1] Jhang, K. Y., Nonlinear ultrasonic techniques for nondestructive assessment of micro damage in material: a review. International journal of precision engineering and manufacturing, 10(1), 123-135 (2009) [2] Peter Trampus and Vjera Krstelj, NDT integrity engineering , in this ECNDT 2018 European Research Day, Gothenburg (2018) [3] Sklan, S. R., & Li, B. (2018). A Unified Approach to Nonlinear Transformation Materials. Scientific reports, 8(1), 4436. [4] Lints, M., Salupere, A., & Dos Santos, S. (2017). Simulation of detecting contact nonlinearity in carbon fibre polymer using ultrasonic nonlinear delayed time reversal . Acta Acustica united with Acustica, 103(6), 978-986 (Open access paper) [5] ICNDT Working Group on NDT Education and Research report, March 2017. [6] Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach . Malaysia; Pearson Education Limited. [7] Sotitios Vahaviolos, Acoustic Emission : a new but sound NDE technique and not a panacea , Nondestructive Testing, Rotterdam, ISBN 90 54 10595X, pp 101-104 (1996) [8] Rainer Link, Nathanael Riess, Industry 4.0 – Overall Significance and Implications to NDT, in this ECNDT 2018 European Research Day, Gothenburg (2018)
