Predictive maintenance technology for moving equipment
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I’ve heard that there are big data platform solutions designed for mechanical equipment, which collect vibration and temperature data and integrate all data related to the equipment in order to enable predictive maintenance, fault diagnosis, and early warning. Is this technology reliable?
This should refer to inspections; it is related to the standards for such inspections. The key is to establish appropriate standards based on the operational data of your equipment
There are many such platforms; they generally use signal collectors to gather data on vibration, displacement, bearing temperature, etc., and then convert this data into waveforms via remote transmission. Manufacturers use waveform analysis to identify faults in the equipment – it’s a form of management based on big data. But to be honest, I’ve never used one of them, though I have paid attention to them before.
By performing spectral analysis to separate out the distracting noise, it is possible to determine whether the issue lies with the bearings or with vibrations caused by other factors; SKF does a good job in this regard.
At our company, we use these methods to monitor the status of equipment, and through a series of measures, it is still possible to resolve many faults