The world around us is changing at a rapid pace. Emerging megatrends like robotics, artificial intelligence, cloud computing and many more are reshaping activities in our personal and professional life. This presentation will address the major drivers of the digital transformation and how it affects our industry. It will identify disruptions, threats and opportunities that professionals, managers and companies have to address in order to be successful in the future. We will also spend some time looking on the impact of the COVID-19 pandemic on NDE and how the New Normal is affecting the way we have been working in the past. This presentation will help NDE experts to understand “the why” of the emerging NDE 4.0 transformation. Due to the expertise of the lecturer, the talk will heavily focus on Radiography (RT). To provide a better understanding there will be many practical examples that will illustrate the concepts.

Voliro has specifically designed a UAV for interaction with any orientation of surface. With a tiltable rotor system, Voliro expands the abilities of UAV’s to “fly, see and touch”. This flying robot can be equipped with different payloads, like NDT sensors. This paper explains the open payload interface on the Voliro T flying robot, which allows NDT sensor manufacturers to attach their custom payloads. These payloads enable a single UAV to accomplish a variety of inspections in a short time. The data collected with the sensors during an inspection is linked to the flight data, making clear, traceable inspection reports.

The computer vision-based measurements offer the superior capabilities over traditional sensing systems, including high spatial resolutions, no mass-loading effects, and low cost. This capability allows the vision-based technique to be widely applied to the damage detection practice as a more efficient way compared to conventional methods. The recently developed phase-based motion processing technique can measure the displacement signals with high accuracy and noise robustness. In this study, an automated damage identification and localization technique based on the phase-based motion processing is proposed. The local phase of the object is extracted using a optimal steerable filter. The modal parameters are then obtained after performing the morphological operation on the edge image in conjunction with the phase signals. Damage is finally localized and assessed by the features extracted by the identified modal parameters. Several experiments are carried out to validate the proposed technique on a 5-story structure under different bolt losing conditions. The experimental results show that the proposed technique can automatically detect and evaluate the damage with high accuracy.

This conversation style keynote is aimed at inspiring leaders to embark on the digital transformation journey in domain of inspections for stakeholder safety and economic value. Presenters have been leading the topic for the last 4 years with extensive research on why, what, and how of NDE 4.0. In this presentation they will discuss (a) trends in technology and stakeholder expectations, (b) technical, business, organization, data sharing, ethics, and people challenges, and (c) possible approaches including eco-system perspective, novel business models

Abstract: This study explores the potential of NDE on quantitative enhancement of NDE system reliability. Further, impact of enhanced system reliability on the potential life revision for aero-engines are also calculated. Eddy current inspection data with empirical â vs a relation obtained from deterministic experimental methods was considered. By a systematic parametric variation in slope of â vs a (indicating varying NDE system reliability), modified POD curves are generated. Further, the parametric variation in slope is correlated with the POD curve shape to identify the percentage enhancement in system reliability. Moreover, enhancement in remaining life with an enhancement of NDE system reliability is calculated to understand its impact. Keywords: NDE 4.0, Reliability, POD, ECT, Damage Tolerance, Aero-engines