Visualising fault conditions with Omniverse
Ensuring the safety and reliability of industrial assets requires accurate detection and interpretation of internal and external faults, such as structural defects or operational anomalies. Traditional methods of presenting inspection data, such as one-dimensional metrics and two-dimensional images, often fail to capture the complex spatial relationships within intricate mechanical systems. While advancements in three-dimensional modelling software and game engines have improved visualisation capabilities, the lack of an integrated platform for creating models and visualising fault conditions remains a significant challenge. This paper addresses these limitations by leveraging advanced 3D visualisation techniques using the NVIDIA Omniverse platform. Two case studies involving vehicles operating in remote areas are presented to demonstrate how distributed edge computing can integrate with Omniverse to improve the visualisation and interpretation of intricate fault patterns. The findings reveal that the use of Omniverse for the visualisation of fault conditions significantly enhances clarity and understanding, reduces the cognitive burden on inspectors and supports more informed and timely decision-making in resource-constrained environments.
Authors
- Yanshuo Fan (ORCID: https://orcid.org/0009-0009-5685-4332)
- Hongguang Yun (ORCID: https://orcid.org/0000-0003-4552-2913)
- Rakiba Rayhana (ORCID: https://orcid.org/0000-0002-1512-4335)
- Teng Wang (ORCID: https://orcid.org/0009-0008-9212-3134)
- Zheng Liu (ORCID: https://orcid.org/0000-0002-7241-3483)
Institutions
- University of British Columbia (CA)
- University of British Columbia, Okanagan Campus (CA)
- Okanagan University College (CA)
Publication Details
- Journal
- Insight - Non-Destructive Testing and Condition Monitoring
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1784/insi.2025.67.8.459
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00