Data Analytics & IIoT
Nine Minutes of Knowledge
Bearing Problems – Fault Frequency and Artificial Intelligence-Based Methods
The early detection and fault analysis of bearing problems is crucial. When a rolling-element bearing develops flaws on the races and/or rolling elements, there are four vibration frequencies that can result...
- Pawel Lecinski
- CMRP
Five Minute Facts
The Cost and Cost Benefits of TPM Implementation
We are often asked about the typical cost of TPM implementation.One of the ways to calculate this is the impact of taking critical equipment (could be 25-30% of the process) to 85-90% Overall Equipment Effectiveness (OEE)--The Availability Rate X The Performance Rate X The Quality Rate..
- Mark Jolley
- Marshall Institute
Five Minute Facts
Training Machine Learning Models
When we’re training the model, we’re looking for normal behavior and, along with the client’s domain experts, come together with a model that represents the behavior they are trying to control…
- Robert Kalwarowsky
- Rob's Reliability Project
Five Minute Facts
SaaS for Predictive Maintenance in the Cloud
Cloud computing is increasingly becoming critical to business, especially as digital technologies like IIoT become widespread. Gartner predicts that in the next year, the cloud-based Software as a Service (SaaS) market will grow 85%, five times faster than traditional software...
- James Reyes-Picknell
- Conscious Asset
Nine Minutes of Knowledge
A Brief Introduction to Pareto Analysis (the ‘bad actor’ list)
Pareto analysis is one of the simplest yet most powerful techniques you can use to find out which items of equipment are consuming your resources. In this brief presentation, we will explain the benefits of the technique, and briefly, how you use them.
- Jason Tranter
- Mobius Institute
Five Minute Facts
Tackling Downtime and Cataloging Pareto with Limited Initial Data
Tackling downtime cataloging Pareto's ongoing initially dealt with chronic issues while data was limited but have concentrated on Pareto's. Live production monitoring on key processes, which has uncovered a lot of other unrecorded losses.
- Andrew Keene
- Inghams Group
Five Minute Facts
Myth Busting: We Need Our Old Data
The old system will hold a lot of data, some useful and some not so useful. Some users will want to keep the old data because they are familiar with it and can find their way around in it. Indeed there will be some useful data...
- James Reyes-Picknell
- Conscious Asset
Two Minute Tips
SAP Long Text Fields – Where Data Goes to Die
The dreaded place where useful data gets lost and buried in an unusable format. It’s not standardized across the company, creates a headache when migrating SAP plant maintenance data, and takes too much time to make sense of when maintenance workers are in a hurry.
- Sophie Strobel
- HubHead Corp.
Five Minute Facts
IIoT for Predictive Maintenance and Big Data
IIoT for predictive maintenance enables more extensive monitoring of equipment and processes at a much lower cost than traditional methods and delivers actionable warnings to prevent or minimize the consequences of an impending failure. Where IIoT for predictive maintenance is deployed...
- James Reyes-Picknell
- Conscious Asset