Torsten Seehaus with Fluke Reliability

The Industrial Talk Podcast Network

Industrial Talk is onsite at Xcelerate 24 and talking to Torsten Seehaus, Strategy and Integration Leader with Fluke Reliability about "The powerful Azima solution transforming the asset management vibration market".

Torsten Seehaus and Scott MacKenzie discussed the latest advancements in predictive maintenance technology, highlighting the significance of vibration measurement to predict potential machine failures. They also touched on the potential for increased automation in the future, while acknowledging the need for further development. Later, Scott and Torsten discussed the evolution of predictive maintenance and its growing popularity among customers, emphasizing the benefits of reduced downtime, lower maintenance costs, and improved customer satisfaction.

Action Items

• [ ] Integrate additional data sources beyond vibration into Azima's models.
• [ ] Expand Azima's predictive capabilities to provide more specific failure predictions and recommended actions.
• [ ] Further automate Azima's workflow from failure prediction to work order generation and completion tracking.

Outline

Predictive maintenance technology with Zima CEO.

• Torsten, Fluke/Azima leader, discusses product management & acquisition.
• Azima provides accurate insights on machine failures by leveraging decades of vibration data from various industries.
• Torsten: AI model predicts failures based on data, with 60-70% of failures automated.
• Torsten: Future goal is to increase automation level, balancing automation with human analysis.

Predictive maintenance software for industrial equipment.

• The Azima system uses machine learning to analyze vibration data and predict when maintenance is needed.
• The system can identify specific models and nameplates, and provide notifications based on vibration levels.
• Torsten: Customers want predictive maintenance to avoid surprises, like bearing failure in 28 days.
• Torsten: Predictive maintenance is getting more familiar, customers reacting to issues, like time-based maintenance.

Using AI for predictive maintenance and inventory management.

• Torsten: Voice downtime savings, automated work order management, and real-time monitoring.
• Scott MacKenzie: Proactive planning, right-time work order generation, and effective work execution.
• Torsten discussed inventory management challenges for multiple sites and customers, highlighting the importance of having the right spare parts in place at the right time.
• Torsten mentioned Fluke Reliability and Xcelerate 2024, an event that showcased solutions to help industrial professionals succeed, including vibration AI and Azima.

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TORSTEN SEEHAUS' CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/torstenseehaus/ Company LinkedIn: https://www.linkedin.com/company/fluke-reliability/ Company Website: https://reliability.fluke.com/

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