Power quality
Power quality anomalies you cannot see are caught in real time,
and put on the record
Why it matters
Equipment stops for no apparent reason, or a healthy line starts producing defects. Trace it and power quality is
often the culprit. A momentary voltage dip or a harmonic is neither visible nor long-lived,
so without continuous monitoring the evidence is gone. So nobody ever learns why it stopped just then,
and the matter passes.
The data and signals we read
Five principles for turning industrial data into an assetHow Refinery solves it
Quality metric monitoring
Voltage, frequency, harmonics and unbalance are watched in real time, so the moment a threshold is crossed is not missed.
Automatic event recording
Fleeting events such as sags, swells and brief interruptions are recorded automatically, leaving evidence you can go back to.
Connection to causes
When and near which machine a quality event occurred is laid over your operating and failure history. Checking whether the timing lines up with a stoppage or a defect turns a vague suspicion into evidence.
Impact separation
Distinguish the events that actually caused problems from the ones that passed harmlessly, so you know what to fix first.
Start from a power quality monitoring template
What to monitor and against which thresholds differs a little from site to site, but the outline is much the same. The power quality template used across several sites already sets out the key metrics, the judgment criteria, and the event types that commonly cause trouble. Connect your measurement points and assets, and you can skip the design stage and start monitoring.
- Voltage, frequency and harmonic monitoring items
- Sag/swell and interruption thresholds
- Asset-history linked view
- Quality event alert rules
Related use cases
Early signs of motor failure are read with wireless vibration sensors, cutting stoppages and losses.
Scattered sensors are brought into one structure and anomalies are read together.
When, where and how much you use is identified, cutting power cost and risk.
The whole plant’s energy flow is brought into one view, cutting waste and emissions together.
Hidden waste and power peaks are found, and the same work is done for less.
Signals from the process data are read, and defects are caught before the part is finished.
