How multi-sensor asset monitoring can improve performance in industry 4.0 factories and logistics and in datacenters
package that uses machine learning (ML) to establish a unique baseline operating value for each machine’s vibrations. The ML software then automatically sets warning and alarm thresholds. It can automate complex EHM calculations and analysis. Some features of VIBE-IQ include: ■ Continual monitoring of rms velocity from 10 to 1,000 Hz, rms high-frequency acceleration from 1,000 to 4,000 Hz, and temperature ■ Only monitors motors that are running
like electric motors, pumps, and generators. The standard uses the root mean square (rms) value of acceleration, displacement, or vibration velocity. ISO 10816 also includes considerations for peak-to- peak values. The vibration severity has the highest rms value when measuring two or more parameters. The standard classifies vibration severity into four levels: ■ Good usually indicates newly commissioned machinery. ■ Satisfactory vibrations indicate the unrestricted operation region.
■ Unsatisfactory vibrations indicate a need for restricted operation and scheduling preventative maintenance. ■ Unacceptable vibrations indicate that machine damage is likely.
Vibration and machine learning
Even “identical” machines are not exact replicas. That’s where machine learning (ML) comes in. Banner Engineering offers VIBE-IQ, a vibration monitoring software
Figure 4: IIoT wireless gateways (lower left) are available with Modbus, Ethernet, and IO-Link connectivity. (Image source: Banner Engineering)
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