Category Archives: Predictive Maintenance

10 Myths Surrounding Predictive Maintenance

When managing the maintenance practices for a facility it’s important to understand the different approaches and the benefits of each. At the core, maintenance styles can be classified into a few different categories. Some of the most common approaches include reactive maintenance and preventative maintenance. You may already be familiar with those or even practicing…
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Case Study: Drillship Fleet Performance Modeling

Clockwork identifies $2 billion in Increased Revenue When Optimally Investing $120 Million in Critical Capital Spares A world leader in offshore drilling contracted Clockwork to create a high fidelity drillship fleet Reliability, Availability and Maintainability (RAM) Model, to optimize overhaul intervals for critical drillship equipment & investments in drillship capital spares. The Challenge At the highest breakdown level,…
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Advanced Predictive Analytics versus Traditional Historical Forecasting

Traditional forecasting, using historical observations estimate future business metrics such as inventory requirements, asset performance, budgets and revenue. This practice fails to deliver the precision and agility required of leading enterprises and effective asset management programs meeting difficult challenges. The reason for this shortfall is simple: the past does not represent the future in dynamic…
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7 Business Reasons to Develop a Predictive Maintenance Program

Predictive Maintenance allows you to offer new services to customers, where you use realtime data and insights from your deployed base of units to distance yourself from the competition and create enhanced customer value. Predictive Maintenance (PdM) is the ability to use historical data and analysis at realtime to optimize and predict when a failure…
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The Power of Wireless Predictive Maintenance

Technology trends - wireless, cloud & machine learning - are transforming predictive maintenance models while reducing costs and complexity Our lives are impacted by industrial machines every single day. In fact, everything from the food we eat to the fuel that powers our cars comes from factories. These factories have millions of machines that turn,…
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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 of data, in varied forms, at a rapid pace, in the face of uncertainty, then the end result must…
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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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