Unplanned Downtime
Failures interrupt production before teams have time to respond.
PlantGuard helps industrial teams detect abnormal motor behavior early using existing operational data.
No new hardware required
Start with the data you already collect.
Built around plant data
Current, vibration, temperature, RPM.
Pilot-friendly workflow
Lightweight evaluation, fast start.
Clear operational output
Short, usable, decision-ready insight.
Pilot Diagnostic View
Abnormal motor behavior
Signal shift
Abnormal pattern surfaced
Anomaly
Detected
Lead time
Earlier
Output
Concise
Plants often rely on delayed signals, manual checks, or reactive maintenance, allowing early abnormalities to go unnoticed.
Failures interrupt production before teams have time to respond.
Small changes in motor behavior often go unnoticed.
Many issues are addressed only after performance drops.
Downtime quickly turns into lost output and added cost.
PlantGuard analyzes historical motor and equipment data to identify abnormal patterns early, giving teams time to act before a breakdown.
Works with data you already collect.
SCADA, PLC, historian, or CSV exports.
Detects deviations before failure escalates.
Clear findings with inspect or monitor guidance.
How It Works
Motor or equipment history
Abnormal patterns surfaced
Concise diagnostic summary
Operational Benefits
The goal is not more dashboards. It is earlier attention, cleaner decisions, and less reactive maintenance pressure.
Focus teams on assets that deserve review before disruption spreads.
Give maintenance and reliability teams more time to plan the next move.
Provide one concise output that operations, maintenance, and engineering can review quickly.
Start with one motor, one line, or one export instead of a large rollout.
What You Need
A first evaluation can begin with a narrow scope and the data you already have.
Typical starting inputs
Start with a narrow scope such as one motor, pump, or critical asset group.
Use SCADA, PLC, historian, or CSV exports from existing systems.
Recent maintenance notes or known events help interpret abnormal changes.
One maintenance, reliability, or plant lead to review the output is enough.
Next Step
We can start with one asset, one dataset, and one focused conversation.
Contact Form
Tell us about your plant, asset scope, and what you want to evaluate.
Direct Contact
minjae.koo@plantguardai.com