PdM Series #1 | Predictive Maintenance 101 : From Data to Action
Автор: Factory AI Group
Загружено: 2026-02-23
Просмотров: 1
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Summary
In this convo, Tim and I discuss into the goals, and core concepts of predictive maintenance, highlighting its importance and practical application in the manufacturing industry.
We explore the reasons for the existence of predictive maintenance, defines its key components, and addresses common misconceptions about its functionality.
The conversation covers the advancement in vibration analysis, challenges in implementing vibration analysis, the journey to predictive maintenance, setting goals for predictive maintenance, variability and complexity in production processes, stages of predictive maintenance, comparison with static thresholds, integration of predictive maintenance, and the capabilities and limitations of predictive maintenance. Key takeaways include the distinction between vibration analysis and predictive maintenance, and the continuous improvement journey required for successful predictive maintenance implementation.
Takeaways
Predictive maintenance is a critical topic in the manufacturing industry
Understanding the why, what, and how of predictive maintenance is essential for maintenance managers and reliability engineers Vibration analysis and predictive maintenance are not the same.
Predictive maintenance requires a journey and continuous improvement.
Chapters
00:00 What Predictive Maintenance Is Not
24:12 Journey to Predictive Maintenance
30:12 Stages of Predictive Maintenance
36:05 Comparison with Static Thresholds
42:43 Capabilities and Limitations of Predictive Maintenance
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