Condition Monitoring Management & AI
Two Minute Tips
Benefits of Condition-based Maintenance Using AI & Edge Computing
Today's equipment maintenance relies heavily on human labor, while autonomous AI enables both efficient maintenance and increased productivity.
- Daisuke Nishimura
- Macnica
Five Minute Facts
Accelerometer Performance in Wireless Condition Monitoring
Are you implementing wireless condition monitoring in your plant but worried about accelerometer performance? Ed Spence discusses numerous issues, including battery life…
- Ed Spence
- The Machine Instrumentation Group
Five Minute Facts
How Wireless Monitoring Impacts Safety and Security
Are you considering wireless monitoring for your plant but worried about security issues? David Howard addresses those concerns and also discusses how wireless monitoring can improve the safety of your plant, including during pandemics…
- Dr. M. David Howard
- Erbessd Instruments
Five Minute Facts
Networks and Data Destination for Wireless CM
Ed Spence, founder and manager of the Machine Instrumentation Group, discusses networks and data destination for wireless condition monitoring, including a gateway network I/O for select vendors…
- Ed Spence
- The Machine Instrumentation Group
Two Minute Tips
How Does the Cost of Wireless Monitoring Compare?
Are you considering wireless monitoring for your plant but concerned about the cost? David Howard explains how the costs of wireless monitoring compare to equivalent wired systems…
- Dr. M. David Howard
- Erbessd Instruments
Articles
The best AI for vibration condition monitoring is the one that does not remove humans from the process
Industrial Artificial Intelligence (IAI) has one of the greatest potentials to affect the way companies manage their maintenance practices. Letting Machine Learning (ML) and algorithms take more responsibility can lead to more productive work routine and less unplanned stops and the high costs associated with it. But even with several proof points, why are maintenance professionals, particularly vibration analysts, still skeptical about it?
- Rajet Krishnan
- Viking Analytics
Two Minute Tips
The Evolution of Wireless Monitoring
Wireless monitoring has changed a lot over the past decades, and it continues to improve. David Howard explains…
- Dr. M. David Howard
- Erbessd Instruments
Five Minute Facts
Automatic fault detection in machinery using narrow spectral bands
Spectral bands can be a very useful tool for the detection of machine faults. However, not all condition monitoring analysts use them or take advantage of their full potential.
- TWave
- TWAVE
10 Minute Talk
What Level of Machine Learning Do You Want?
There are four basic types of machine learning, based on the kind of information they give you and how the machine “learns”: supervised, unsupervised, semi-supervised, and reinforcement. Jason Tranter defines these and gives an example…
- Jason Tranter
- Mobius Institute
