Predictive Analytics
Next generation analytics is doing tremendous things
The compelling nature of today’s highly-polished BI and advanced visualizations inflates the credibility of conclusions that appear to be supported by big data analyses. After all, if we can manage to collect and properly condition volumes…
The predictive power of big data analytics in the IIoT era
Fatal flaw of predictive IIoT analytics Most predictive analytics suffer from a fatal flaw: they are confined to historical views. Analysts try everything from machine learning (ML) to traditional forecasting to flashy BI dashboards and visualizations…
Unleash the Power of IoT-based Predictive Maintenance
In today’s competitive industrial world, predictive maintenance (PdM) is no longer a nice-to-have; it has become a necessity. Traditional PdM methods have several limitations. However advancements in wireless, cloud and AI technology are disrupting the way…
Connected sensors & machine learning – two current trends in predictive maintenance
The emerging market for Predictive Maintenance (PdM) shows increasing growth as maintenance strategies move from what has been known as Condition-based Maintenance to Analytics-and IoT-enabled PdM, according to a report published this year by IoT Analytics,…
Choose the Right Level of Predictive Maintenance
The terms Predictive Maintenance and IoT have been intertwined and used significantly over the last several years has caused the true meaning of prediction in this context to be difficult to ascertain. These variations or differences…
Pragmatic Predictive Analytics through Pattern Analysis in Operational Data
One certainty is that manufacturing processes continue to get better at producing data-primarily due to rapid cost reductions and improvements in data collection, communication, and storage technologies. The challenge, however, is that the ability to exploit…
Changing a Lightbulb with a Hammer: Predictive Analytics with Machine Learning
Machine Learning (ML) isn’t so mystical after all. Machine Learning is a new term that re-packages well-established statistical techniques that have been around for decades. Machine Learning reacts to new information by learning. The “learning” happens…
CEO Insights: How to get the most of your old machines leveraging Predictive Maintenance
There is an enormous amount of buzz about predictive maintenance and how it can save money for manufacturers, but it’s often difficult to figure out what is and isn’t hype. Also, there are a lot of…
Providing Smart Machine Maintenance to Customers
Intelligrated, now part of Honeywell, developed IRIS, the Intelligrated Reliability Intelligence Solution, a computerized maintenance management software (CMMS) that connects to customer equipment via IIoT to gather machine data. The system reduces inventory costs by 10-15%,…
Humans, Machines and the Future of Predictive Maintenance
Predictive maintenance outperforms reactive and preventive strategies, with the U.S. Department of Energy reporting savings of 30-40% over reactive approaches and 8-12% over preventive ones. Machine learning and vibration analysis are reshaping how these programs scale,…