How LoRaWAN® and AI is revolutionising predictive maintenance: condition monitoring in practice

How do modern IIoT solutions with AI-based analysis tools help to detect faults at an early stage, optimise maintenance processes and reduce costs? Using real-life industry examples, our WIKA expert, Michael Heider, shows how companies can benefit from smart machine monitoring.

You will gain insights into the following topics:

• Smart sensor technology instead of manual control
  How wireless sensors automatically collect data and transmit it to central platforms via energy-efficient networks such as LoRaWAN®
• Automated analysis of measured values
  How a machine learning-based tool creates individual models for each machine, recognises patterns in the measured data and automatically classifies anomalies.
• Example 1: Early warning system for unplanned failures
  How a chemical company prevented an unplanned shutdown through AI-supported monitoring.
• Example 2: Significantly fewer downtimes and higher efficiency
  How a mining company significantly reduced its machine downtime and tripled the proportion of truly necessary maintenance work.
• Fast return on investment
  How the ROI of a smart condition monitoring solution can be achieved after just a few months – thanks to optimised maintenance processes, reduced downtime and efficient use of resources.

Would you like to find out more about the potentials AI-supported condition monitoring offers you? Then register now for one of the webinar dates!