<p>With the rapid growth in aviation sector, there has been an increased interest in exploring new tools and methodologies to improve safety whilst reducing maintenance and repair expenses. Although, Non-Destructive Testing (NDT) methods provide sufficient information about the state of the structure at the time of inspection, the need for monitoring the health of the structure continuously has asserted the use of Structure Health Monitoring (SHM) technologies to maintain the levels of safety and thereby, reducing the overall costs for operation and maintenance. Although, SHM in the aviation sector has been an active discussion topic over the past few decades, only a few SHM technologies have been able to achieve the required readiness levels for implementation. From our perspective, the limited implementation can be associated with two key factors, namely, the lack of business cases and the lack of technological breakthroughs. These factors have restricted the widespread use of SHM technologies in the aviation sector, which could have otherwise served as a critical system, which in the long run could increase the residual aircraft value ensuring global weight savings.</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;In order to overcome the shortcomings, we at Testia employ a unique strategy, which fundamentally aims to enhance cross-industry innovation. Being at the forefront of aerospace inspection technologies, Testia, an Airbus company, proposes to utilize the knowledge and experience gained in deploying solutions in a wide spectrum of industries, to drive innovation, maturation and technological advancements in the aviation sector. Although this approach can be generalized for a variety of technical solutions, Testia has found recent success in implementing a similar approach in order to generate innovative solutions and business-cases for SHM. This approach leverages on two critical pillars, namely, cross-industry technology maturation &amp; the development of data analytics algorithms powered by Machine Learning (ML) &amp; Artificial Intelligence (AI). By leveraging on the confidence gained in adapting the existing sensor technologies &amp; data analysis algorithms for a plethora of use-cases across several industries, we hope to reimagine the adaptation of the said technologies for newly identified use-cases in the aviation sector. To help appreciate the same, we would like to present some of the ongoing activities at Testia with an emphasis on a few promising technologies, some of the active cross-industrial use-cases and our implementation roadmap. At Testia, we strive to believe that the vision for SHM in the past, especially for the aviation sector, still remains the vision of the future. We believe our approach based on the cross-industry innovation can result in several new use-cases and technological advancements in SHM in the near-future.</p>

Structural Health Monitoring (Shm) – a Testia Perspective

Paper Proceedings: https://asmedigitalcollection.asme.org/qnde/QNDE2021/volume/85529

ASME 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE2021)

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