Data Analytics & IIoT
10 Minute Talk
Choosing a Wireless Condition Monitoring System
When selecting a wireless condition monitoring system, there are many things you need to consider. Ed Spence, founder and manager of the Machine Instrumentation Group, goes through them with you…
- Ed Spence
- The Machine Instrumentation Group
10 Minute Talk
Your IIoT Asset Selection Procedure Will Determine your KPIs
To maximize your ROI in the asset selection process, it’s important to keep in mind the difference between proof of concept and scale deployment. Before we start a project, we must define the goals and KPIs, and there are quite a few differences between the two approaches…
- Dries Van Loon
- NanoPrecise
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
Case Studies and Stories
Sustainable Predictive Maintenance for Improved Reliability of Car Manufacturing
This study provides brief details of an early warning system of an impending failure for an overhead conveyor in an automotive manufacturing plant in the US.
- Tumay Karaver
- Artesis Technology Systems
10 Minute Talk
An IIoT + AI-Based PdM Approach to Overhead Crane Monitoring
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
- NanoPrecise
10 Minute Talk
Signal vs Data Processing (AI) in CM
Ed Spence, founder and manager of the Machine Instrumentation Group, explains the key differences between signal and data processing (AI) in condition monitoring…
- Ed Spence
- The Machine Instrumentation Group
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
White Papers
Drive Smarter Maintenance and Better Operating Decisions by Collecting, Interpreting, and Applying the Right Data
With the rise of the fourth industrial revolution (Industry 4.0), a new world of possibilities has opened for manufacturers. Given this extraordinary evolution, it's inevitable that the shift must involve leveraging all the value inherent in available data.
- Pieter Van Camp
- I-Care Group
10 Minute Talk
Terminology and Background of AI Systems
Do you know the difference between AI, machine learning, predictive analytics, data analytics, IIoT, and predictive maintenance? Jason Tranter goes into the definitions with examples…
- Jason Tranter
- Mobius Institute