Скачать или смотреть A Coffee with SKF – Ep. 2 – Predictive Maintenance: how close are we?

Welcome to the second episode of A Coffee with SKF — the video series where SKF technical experts and marketing professionals sit down to explore what’s really happening in the Machine Tools industry.

In this episode, Nicola Donato (Application Engineer Team Leader) and Fabrizio Mandrile (Manager Advanced Engineering Competence Centre), together with Giampaolo Desderi (PR and Brand expert), dive into a complex but crucial topic:

– What GBLM (Generalized Bearing Life Model) really means
– Why ISO standards are no longer enough
– The role of sensor data in building better models
– How predictive maintenance helps reduce waste and downtime
– The connection between friction, efficiency and sustainability
– What lies ahead: simulation, AI, and smarter machines
This is more than just a coffee break — it's a space to share insights that matter.

👉 Subscribe to our channel and don’t miss the next episode.

📧 Want early access to future videos? Write us at: [email protected]

⏱️ Timestamps
00:00 Introduction
02:03 How do we normally evaluate a bearing’s performance?
02:52 Overcoming the limitations of current models
04:15 Using sensor data to improve simulation model results
05:34 Beyond surface and sub-surface fatigue
06:18 The goal: moving toward predictive methods
07:28 GBLM and maintenance: how they connect
09:38 Application areas for GBLM
11:48 Future outlook: AI and machine learning