Google offers a framework for designing your own Industrial IoT predictive maintenance solution to accurately determine when to replace manufacturing equipment. Entropy sucks. But industrial ...
The Intelligent Condition Monitoring Box (iCOMOX) is an open-source development platform for condition-based monitoring of equipment, assets, and industrial facilities. The goal of the board is to ...
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Machines whisper before they scream: We built an AI model that predicts expensive problems
In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...
Nearly everyone in manufacturing, from equipment manufacturers to processing plants, commonly face the challenge of keeping their fleet, machinery, and other assets working efficiently, while also ...
Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...
Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...
Unplanned downtime in manufacturing is one of the largest causes of lost productivity, causing delays, unhappy customers and lost revenue. In fact, the problem costs industrial manufacturers an ...
What is a predictive maintenance model and why did you build one? For decades after the global industrial boom, many industries relied on a simple rule: wait for a machine to break, then repair it.
In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...
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