You will learn how to calculate the economic impact of ignoring oil analysis data in a simple-to-understand format. We also explore several case studies to show what a true problem-to-failure curve looks like when the data is ignored.
- Roy Giorgio
APIs are a set of functions and procedures that are used to create applications. They link different software platforms together and let unrelated applications exchange information.
- Anders Hultman
- SPM Instrument AB
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
We will discuss the importance of machine health monitoring data security and the risks of unsecure communications.
- Michael Howard, DSc
Industry 4.0 is what organizations are all striving for, but it’s not something that can be fixed overnight. To achieve sustainable results, a long-term mindset is needed. It is therefore essential to choose a strategic approach taken in stages. And, of course, the right partner to help you guide all facets of your organization through this major transition.
- Tom Rombouts
- I-care Group
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
Data collection and analysis facilitates an understanding of field operational use profiles and environmental stress data and is critical for ensuring design/process robustness.