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Summary
In this first episode of the predictive maintenance series, JP and Tim break PdM down to what actually matters. No theory, no buzzwords, just a clear explanation of what predictive maintenance is, how it works on a real manufacturing site, and why so many people struggle to make sense of it.
They start by looking at why predictive maintenance exists in the first place, and where traditional reactive and time-based maintenance start to fall short. The conversation then moves into how PdM really works, from data and baselines through to alerts and action, and why it’s not the same thing as traditional condition monitoring.
This episode is all about building a simple mental model for predictive maintenance. If you’ve ever wondered whether PdM is worth exploring, or why it feels confusing or overhyped, this is the place to start.
Chapters
00:00 Introduction to Predictive Maintenance
08:33 Understanding the Need for Predictive Maintenance
12:44 Defining Predictive Maintenance and Its Distinctions
19:21 What Predictive Maintenance Is Not
21:52 Addressing Common Objections to Predictive Maintenance
22:37 The Power of AI in Predictive Maintenance
23:58 Overcoming Challenges in Predictive Maintenance
26:21 Setting Goals for Predictive Maintenance
27:13 Addressing Variability in Production Processes
29:14 Understanding Predictive Maintenance: The Five Stages
34:22 The Importance of Feedback in Predictive Maintenance
40:28 What Predictive Maintenance Can and Can't Do
Takeaways
By JpSummary
In this first episode of the predictive maintenance series, JP and Tim break PdM down to what actually matters. No theory, no buzzwords, just a clear explanation of what predictive maintenance is, how it works on a real manufacturing site, and why so many people struggle to make sense of it.
They start by looking at why predictive maintenance exists in the first place, and where traditional reactive and time-based maintenance start to fall short. The conversation then moves into how PdM really works, from data and baselines through to alerts and action, and why it’s not the same thing as traditional condition monitoring.
This episode is all about building a simple mental model for predictive maintenance. If you’ve ever wondered whether PdM is worth exploring, or why it feels confusing or overhyped, this is the place to start.
Chapters
00:00 Introduction to Predictive Maintenance
08:33 Understanding the Need for Predictive Maintenance
12:44 Defining Predictive Maintenance and Its Distinctions
19:21 What Predictive Maintenance Is Not
21:52 Addressing Common Objections to Predictive Maintenance
22:37 The Power of AI in Predictive Maintenance
23:58 Overcoming Challenges in Predictive Maintenance
26:21 Setting Goals for Predictive Maintenance
27:13 Addressing Variability in Production Processes
29:14 Understanding Predictive Maintenance: The Five Stages
34:22 The Importance of Feedback in Predictive Maintenance
40:28 What Predictive Maintenance Can and Can't Do
Takeaways