By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
Preventative maintenance can have far-reaching effects, so take the necessary steps. Dont let something as small as a hydraulic hose failure cost your factory a sizable sum.
Predictive maintenance is revolutionizing the industry and transforming the entire operation. This technology predicts problems in a factory before they even happen, changing the paradigm and preventing disasters.
Many businesses are already using continuous monitoring technologies - like Internet of Things (IoT) connected devices - which is a good start; but the key lies in not just simply monitoring the output of various data (which is how many companies use it today), but by taking the next step and employing advanced algorithms and machine learning to take action from real-time insights and anticipate future outcomes.
Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
A robots abnormal condition can be detected early via data comparison, so a high-speed equipment monitoring solution must be able to acquire analog signals at the rate of 1000 signals per second. Then the collected signals need to be delivered to the control room for monitoring management and data analysis.
Remember that these trends are already in place, for the most part. What you'll deal with are advancements and enhancements that make the trends more apparent.
Food and beverage processors speed repairs and reduce costs by working with single source for full gamut of machine repairs, from electronic controllers to motors.
The latest in automated lubrication systems ensure optimum equipment performance, even in harsh plant environments, and reduce unscheduled maintenance. Corrosive plant environments are among the most serious threats to many industries today, contributing to extensive production downtime and exorbitant maintenance costs.
The automation and collection of information thats available from machine to machine communication enables manufacturers to transition from corrective to preventive maintenance and ultimately to predictive technologies which rely on more information and data collection.
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CIMON-XPANEL is a Windows CE based HMI unit. A combination of software and hardware, suitable for various monitoring needs within industrial sites.