Complete Visibility Into Asset Health

Recorded live at SMRP, this episode of the Industrial Talk Podcast features AssetWatch experts Heather Lovero and Chris Becker discussing what it truly means to have complete visibility into asset health. The conversation explores how industrial teams can move beyond traditional preventive maintenance by combining multiple data sources into a single, actionable view.
Heather shares her background in industrial manufacturing and explains how facilities are evolving toward predictive maintenance using vibration, temperature, and oil analysis. Chris, a senior condition monitoring engineer with over a decade of experience, explains how AssetWatch pairs advanced analytics with dedicated human analysts to provide accurate recommendations and reduce false alarms.
The discussion emphasizes the importance of real-time communication, ongoing collaboration, and context when interpreting condition monitoring data. Rather than relying solely on automation, AssetWatch blends AI-driven insights with hands-on expertise to ensure maintenance teams receive clear, prescriptive guidance they can act on quickly.
Key topics discussed include:
- The importance of context in condition monitoring and asset health data
- How vibration and oil analysis work together to detect developing failures
- The role of AI and machine learning alongside experienced human analysts
- Turning monitoring insights into maintenance actions through CMMS integration
- Supporting long-term reliability through continuous monitoring and collaboration
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Listen on Industrial Talk
Hear Heather Lovero and Chris Becker share insights on complete asset visibility, predictive maintenance, and reliability best practices from SMRP.