Up to date
The e-paper of issue 7/2021
Specific application examples for predictive maintenance are key topics in this issue. You can also read a summary of ten years of Industry 4.0, artificial intelligence as an aid to condition monitoring and how load peaks can be reduced using Plug&Play.
Topic highlights
- Cover story: Reducing peak loads
Plug-on module controls active energy management devices (page 35) - MQTT-based test adapter for industrial protocols
New approach to testing IIoT applications (page 14) - Intelligent monitoring with airborne noise monitoring
AI in the condition-based monitoring of hydraulic pumps (page 28) - Minimizing abrasion
Tackling the wear behavior of energy chains (page 38) - An evolution update
TSN series part 12: The upcoming 'to dos' (page 40) - Follow up
Prof. Rahman Jamal: Industry 4.0 - What's in store for the next ten years? (page 50)
Predictive maintenance in focus:
- Getting on track
Lifecycle management and predictive maintenance for freight transport (page 18) - Armed against failures
Preventing malfunctions with retrofitting and machine learning (page 20) - Predictive maintenance with AI
How insight engines help to put data into perspective (page 23)
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