A lot has been written on the use of predictive analytics and its application for industrial equipment. The first stage in data analytics for industrial equipment revolves around efficiency metric construction and its improvement. The rules for metric constructions is…
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Moving machines to continuous appraisals (predictive) rather than year-end bell curves (scheduled)…
As the year draws to a close, most organisations will embark on the annual appraisal process. A process which most managers view as time consuming, demotivating, and often unhelpful. Yet, nearly nine out of ten companies employ the year-end ratings and…
Is no UI the future of UI?
The User Interface (UI) currently splashed across various screens is about to change in a significant way. User interfaces are currently being used to delight customers by using extensive color pallets and extra features, whereas attention should be of fulfilling…
Extracting value from big energy data – Moving beyond the meeting traps!
So much has been said about using machine learning to predict failures, while so little is actually used in practice. The number of papers, research articles, presentations and videos on predicting failure surely qualify for VERY BIG DATA. Over the…
Identifying Anomalies: A powerful big-data analysis tool
In the world of Big-Data analytics, quite often, organizations get confused by the vast amount of data that they could potentially harness. One of the easiest ways to make use of this mountain of data is to use it to…
Weibull Analysis to Help Forecast Failures
When a wind turbine or inverter starts to fail, management wants answers. Are they failing because of manufacturing problems? Is it due to bad operations and maintenance practices? Or is the design to blame? After doing root cause analysis the…