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.

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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
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article

Visualising fault conditions with Omniverse

Yanshuo Fan, Hongguang Yun, Rakiba Rayhana, Teng Wang et al.
Insight - Non-Destructive Testing and Condition Monitoring
Data Visualization and Analytics
article

Visualising fault conditions with Omniverse

Yanshuo Fan, Hongguang Yun, Rakiba Rayhana, Teng Wang, Zheng Liu
article en

Abstract

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.

Insight - Non-Destructive Testing and Condition MonitoringVol. 67(8)
University of British Columbia (CA), University of British Columbia, Okanagan Campus (CA), Okanagan University College (CA)
Openalex Percentile: Top 81%
Data Visualization and Analytics
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