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Using Explainable AI for Trustworthy Vibration-Based Asset Management

Andy Zimmerman, Grace Technologies

Artificial Intelligence (AI) has the potential to simplify complex tasks in industrial asset management, such as predicting equipment failure based on vibration data. This presentation aims to demystify how AI can help even those with little technical training better manage machinery and reduce downtime. We will not only explore how AI can help predict, identify, and rectify defects in equipment, but we will also delve into how Explainable AI (XAI) concepts can be used to help users understand and trust an AI’s decisions.

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