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WEBINAR: Why predictive maintenance is fundamental in Industry 4.0

00:37:38 | 12 NOV 2018
PRESENTER: Giovanni Campanella
CONTENT:
•Intro
-Why predictive maintenance…
-…is fundamental in industry 4.0
-Deterioration curve/ Damage development
•Condition monitoring
-CM in a factory floor
-CM sensor
•TI system solutions for CM
-IEPE sensor interface for PLC analog input reference design
-IEPE to IO-LINK condition monitoring reference design
-Reference design for wireless condition monitor for motors and pumps using multi-axis vibration
•TI implementation
-Overview (current status, problems, goals)
-Solution with wireless mesh network for predictive maintenance reference design
-Network architecture
•TI deep learning
-Deep learning on Sitara AM57x SoCs

Resources

  • arrow-right Industry 4.0 solutions
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Products
  • Amplifiers
  • Audio, haptics & piezo
  • Clocks & timing
  • DLP products
  • Data converters
  • Die & wafer services
  • Interface
  • Isolation
  • Logic & voltage translation
  • Microcontrollers (MCUs) & processors
  • Motor drivers
  • Power management
  • RF & microwave
  • Sensors
  • Switches & multiplexers
  • Wireless connectivity
Applications
  • Automotive
  • Communications equipment
  • Data center
  • Industrial
  • Personal electronics