MachineMetrics provides Industry 4.0 solutions beyond machine monitoring. As Industry 4.0 and the Industrial Internet of Things (IIoT) steadily integrate into the world of manufacturing, many plant ...
Nothing runs as smooth as a new machine. After time, as components wear, the hum of productivity becomes the whine of a tired collection of loose fitting parts beating out of unison. This condition is ...
Sensor-based monitoring is changing machine maintenance, as real-time data detects early wear, though results depend on ...
Caterpillar has unveiled the proprietary Cat Track Wear Sensor (CTWS) for Cat machines and undercarriages. The sensor remotely monitors undercarriage wear to predict wear out, plan maintenance and ...
Condition monitoring is the practice of using various sensors and data analysis to assess the operating state of machines and equipment. For example, temperature and vibration data can be collected ...
Predictive maintenance is essential for machine operation as it assesses the condition of the machine using key health indicators. These are then used to schedule maintenance before it fails. Dmitry ...
The wearing of oil in a mechanical system is a problem that spans the automotive, aerospace and industrial sectors. Because oil is used in mechanical environments, metal particles can become detached ...
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