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…
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,…
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. Compared to predictive analytics, this practice fails to deliver the precision and agility required of leading enterprises and…
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…
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
Predictive maintenance is 20% to 30% more cost-effective than a preventative maintenance program, according to Sean T. Riley, Global Industry Director for Manufacturing and Transportation at Software AG. Yet many manufacturers confuse true predictive maintenance with…
Pragmatic Predictive Analytics through Pattern Analysis in Operational Data
Manufacturing operations generate vast volumes of process data, yet most current analysis approaches fail to scale because they require large upfront investments, scarce expertise, and well-organized data sets. Embedded machine-learning pattern-recognition engines offer a pragmatic alternative:…
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…