Closing the Data Debt in Industrial AI – How to Convert Data Spaghetti to High Quality Data Sets and Start Delivering Impact
In this webinar, we will explore the challenges of industrial analytics, and how you can overcome your data debt with a targeted data collection and preparation strategy. We will also discuss the value of a high quality data set and how investing a little time on this can reap major rewards for engineers looking to understand and monitor their equipment behaviour.
- Alexandra Gunderson
Artificial intelligence applications are widely used for fault diagnosis by monitoring vibration data. In order for artificial intelligence applications to provide the most efficient results, they need to be trained using data obtained by regular monitoring of machines for long periods and evaluated by experts.
- Mehmet Ozan Serifoglu
Have you ever wondered exactly how machine learning works? Where does the system get the data for equipment that is not allowed to fail often? Jason Tranter goes into a method an AI system might use to tell us whether a bearing is about to fail…
- Jason Tranter
- Mobius Institute
Simple and Easy Steps for Implementing Predictive Maintenance in Machinery using High Frequency Vibration Data and Edge AI
Currently, the most commonly used standard for maintenance processes is Time-based Maintenance (TBM) that involves inspection, repair, and part replacement at regular intervals. In general, TBM is not optimal and cost effective. On the other hand, Condition-based Maintenance (CBM) involves the utilization of various types of sensor data collected from machines to perform repairs or other countermeasures before malfunctions or anomalies occur, hence reducing the unnecessary cost of maintenance.
- Vikas Kumar Singh
As technology improves every day, Wireless Sensors are able to successfully monitor equipment. Wireless Sensors are easy to install anywhere, and there is no need for local networks, modems, or gateways. Dries Van Loon gives more detail on the benefits of these sensors.
- Dries Van Loon
With the increasing demand of IIoT in the age of digitalization, data-driven maintenance optimization of industrial equipment is one of the most trending topics among maintenance professionals. At the beginning, data gathered by various sensors placed on the machines or embedded in the machine itself are pre-processed.
- Anil Ulusoy