AD | WAGO Library Analytics: Predictive Maintenance and Data Analytics made EASY
WAGO Library Analytics: Predictive Maintenance and Data Analytics Made EASY
🚀In this video, you will learn how to detect anomalies 🔔 and drift 📉 and predict the future 📈 of motor behavior using WAGO Library Analytics. You will see how WAGO Library Analytics simplifies predictive maintenance 🔧 by integrating generic machine learning models 📑 directly into PLC programs, enabling easy monitoring and analysis for any system”.
🔧 Learn more about WAGO Library Analytics at: https://ow.ly/VR8j50QNnXu
WAGO is a registered trademark of WAGO Verwaltungsgesellschaft mbH.
#wago #predictivemaintenance #motorvibrations #ad
✅ Timeline:
0:00 - Introduction
0:26 - What is Predictive Maintenance?
0:46 - What is Anomaly?
0:58 - What is Drift?
1:16 - How do you find Predictive Maintenance metrics?
1:25 - Introduction to WAGO Library Analytics
1:47 - Hardware setup
3:07 - Use-case 1: Detecting Anomaly score of the industrial motor's vibration data
7:39 - Use-case 2: Detecting drift of the industrial motor's vibration data
9:35 - Use-case 3: Prediction of future data points
10:55 - Grafana and Node-RED Integration
13:15 - Introduction to Portainer
13:30 - Outroduction
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