Predictive Maintenance
Reliability

Fix equipment issues before unexpected downtime hits

Equipment usage patterns and telemetry data are monitored to trigger maintenance work orders before breakdown events.

-30%
unplanned downtime
early
fault detection notice
ready
spare part availability
What you get

Predictive Maintenance core features

Condition Threshold Monitoring

Tracks vibration, temperature, and operating hours in real time via IoT sensors. Logs performance anomalies automatically before safety thresholds are breached.

Early Warnings & Auto Work Orders

Dispatches maintenance work orders to technicians the moment fault indicators trip. Minimizes unscheduled downtime by initiating proactive repairs.

Failure History Analysis

Evaluates recurring fault patterns through historical equipment logs. Helps reliability engineers diagnose root causes and improve PM procedures.

Spare Part Precision Planning

Links predictive maintenance triggers directly to warehouse spare part inventories. Reserves required replacement parts automatically before work begins.

Remaining Useful Life (RUL) Prediction

Calculates estimated Remaining Useful Life for critical machine parts using sensor analytics. Optimizes service intervals while protecting production targets.

Reliability Dashboards (MTBF & MTTR)

Monitors plant availability using Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR). Informs capital expenditure or asset overhaul decisions.

Workflow

How the process works

Step 01

Ingest machine sensor data

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Step 02

Monitor condition limits

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Step 03

Trigger work order

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Step 04

Evaluate asset reliability

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