Pump Up the Predictions: Prototyping Predictive Maintenance with RASynBoard

In industrial settings, few things are feared more than equipment failures. These failures frequently lead to costly downtime, production delays, and even safety hazards. To combat these challenges, many organizations have turned to predictive maintenance as a proactive solution. Predictive maintenance involves using data analytics, machine learning algorithms, and sensors to anticipate equipment failures before they occur. By continuously monitoring equipment condition and performance in this way, organizations can detect abnormalities or signs of wear and tear early on, allowing them to schedule maintenance before it is too late.

This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/pump-up-the-predictions/
1 Like

Excellent write up. The Avnet RASynBoard Out of Box application also supports connecting your device to AWS IoT Core or Avnet’s IoTConnect cloud solution running on AWS. Using these connectivity features engineering teams can also send email/text alerts when specific events are identified.