Category Archives: Predictive Maintenance

The predictive power of big data analytics in the IIoT era

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 in attempts to estimate details about the future of complex business operations: The predictions fail. A wake does not drive the ship; and the wake…
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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 PdM has been done in recent decades. Companies are making use of these technologies to offer an end-to-end, easy-to-deploy…
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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, a leading provider of market insights for the Internet of Things. The Predictive Maintenance report forecasts a compound annual…
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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 in what a Predictive Maintenance program is and how it is actually construed has caused Manufacturers and distributors to…
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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 this data for meaningful operational benefits is not keeping pace. There is real potential to use manufacturing data to…
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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 by observing the past—sometimes the very recent past. Machine Learning can deliver on the promise of self-adjusting algorithms that can…
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Providing Smart Machine Maintenance to Customers

Intelligrated, now part of Honeywell, is a North American-based automated material handling solutions provider, servicing distribution and manufacturing customers. A confluence of industry forces has increased demand for their sophisticated automated systems, and uptime reliability requirements are higher than ever, requiring preventive and predictive maintenance services. The shortage of skilled maintenance personnel adds further pressure…
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Humans, Machines and the Future of Predictive Maintenance

There’s no denying that advancements in artificial intelligence and machine learning are occurring faster than most experts anticipated. The era of self driving cars is just on the horizon, the Jabberwacky chatbot can convince you it’s a human, and Google’s deep dream can produce creative works of art. Advancements in networking, information processing algorithms, and…
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IoT World 2017 Breaks Attendance Records – Industrial Track Summary

Over 14 000 IoT professionals from around the globe attended the recent IoT World Conference in Santa Clara, California. A multitude of presentations and demonstrations of the latest IoT developments provided options to the attendees to join 8 tracks daily (Sample tracks: AR/VR,  Data Analytics, Executive Summit, IoT Architecture, IoT, Security, Healthcare, Smart cities,  Industrial IoT).…
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