Use heat trends to move maintenance before failure
Predictive maintenance depends on condition data that changes the work plan. AVIAN turns abnormal heat trends into earlier inspections, scheduled repairs, and better decisions about when to act before a shutdown.
Sense
Monitor thermal condition
Interpret
Separate normal from abnormal
Prioritize
Route the event
Improve
Plan the next action
380°F
hotspot Sierra Pacific Industries could see in thermal before smoke or visible flame appeared in the RGB view.
Why predictive programs stall
Prediction only helps when it changes the next work order
Predictive maintenance can become abstract when it lives only in software dashboards. The practical value comes when a signal points to a real asset, a real risk, and a maintenance decision the team can schedule.
Calendar-based maintenance can replace parts too early or miss failures that develop between intervals.
Some heat-related failures are not visible during routine inspections.
Electrical, friction, and process heat can become both maintenance risk and fire risk.
A useful predictive signal must help teams decide what to inspect, what to repair, and when to schedule the work.
What our customers say
Industrial teams use AVIAN to catch heat problems before they become downtime or fire risk
“I’d argue it’s probably one of the best technologies as far as fire safety is concerned”
We had a gearbox that was overheating in our dust shed. Thanks to the alerts from AVIAN, we changed the oil in the gearbox and brought it back under normal operating conditions.
“From Pilot to Prevention: How Chinook Wood Products Uses AVIAN”
“We can now adjust our machines in real time—without shutting them down”
Temperature changes become immediately visible with the AVIAN system, allowing us to react without delay. This kind of predictive maintenance greatly increases technical availability.
“Every planer mill should have an AVIAN system”
I can’t think of a reason why anyone wouldn’t want to install it.
“Why Charles Ingram Says Planer Mills Need AVIAN”
How thermal supports prediction
A practical signal for reliability and safety teams
AVIAN does not try to predict every possible failure. It focuses on heat-related conditions where continuous thermal visibility gives teams enough lead time to inspect, prioritize, and plan work before failure.
Baseline-aware thermal monitoring
Track normal thermal behavior and flag abnormal drift instead of relying only on a generic temperature threshold.
Asset-level context
Tie a heat trend to the equipment, belt, panel, battery area, or process zone that needs attention.
Planned follow-up
Use event records to schedule cleaning, repair, inspection, or threshold tuning while the fix is still routine.
From thermal trend to planned work
Turn early heat into a better maintenance decision
The workflow connects detection to action so predictive maintenance does not stop at a dashboard.
Sense
Monitor thermal condition
AVIAN watches critical assets and zones continuously for abnormal surface heat.
Interpret
Separate normal from abnormal
Thermal and RGB context help teams understand whether a heat event is mechanical, electrical, process-related, or material-related.
Prioritize
Route the event
Alerts can reach operations, maintenance, safety, and on-call teams based on severity and site workflow.
Improve
Plan the next action
Use the event history to inspect, repair, clean, stop, or prevent the repeat.
Where it applies
Built around the assets where heat changes the outcome
Sawmills and planer mills
Use heat trends around planers, bearings, rolls, conveyors, and dust systems to reduce emergency work.
Biomass and pellet plants
Track friction heat around presses, drives, conveyors, and combustible dust zones.
Grain and feed mills
Monitor hot bearings, elevator friction, and dust-prone process zones where heat changes maintenance priority.
Ports and bulk handling
Watch remote conveyors, transfer towers, and drives across large terminal footprints.
Food and beverage manufacturing
Use thermal condition signals around motors, compressors, conveyors, and panels before a line stop.
Recycling and waste
Catch conveyor heat, battery events, and equipment drift before maintenance becomes emergency response.
Proof and resources
Field examples and practical guides
Chinook Wood Products: From Pilot to Sawmill Fire Prevention
During an initial 6month deployment of our monitoring system, the Chinook Wood team has already found substantial benefits in the technology. The pilot kickedoff with 2 cameras monitoring strategic areas in Chinook’s ...
Rosenbaum Sawmill: Frame Saw Failure Caught by AVIAN
Friday, May 9 — Once again, the AVIAN earlywarning system at the Josef Rosenbaum sawmill demonstrated the value of predictive monitoring with thermal intelligence. One of our smart camera systems there is focused on t...
Hydraulic Drive Sparks: Caught in Week One (Case Study)
Hidden underneath the logdeck for this manufacturer are critical hydraulic drives which operate the head rig.
FAQ
Questions teams ask before they deploy AVIAN
Is AVIAN a predictive maintenance platform?
AVIAN is a thermal condition monitoring layer that supports predictive maintenance. It gives maintenance teams an early heat signal they can use alongside CMMS, vibration, oil analysis, inspections, and reliability workflows.
How is predictive maintenance different from preventive maintenance?
Preventive maintenance is usually time- or usage-based. Predictive maintenance uses asset condition signals to decide when work should happen. AVIAN contributes a continuous thermal signal for heat-related failure modes.
What failures can thermal monitoring help maintenance teams catch?
Thermal monitoring is useful for friction heat, overloaded motors, loose electrical connections, hot bearings, dragging belts, battery or charger heat, retained material heat, and process zones that drift away from normal.
Does AVIAN create work orders automatically?
AVIAN focuses on detecting, documenting, and routing thermal events. Sites can use alerts and event history for maintenance handoff, and integrations can be designed around existing systems when needed.
Preventive vs Predictive Maintenance Techniques
How thermal monitoring fits between routine maintenance and predictive work.
Condition-Based vs Predictive Maintenance
A terminology guide for teams building reliability programs from asset data.
AI Thermal Anomaly Detection
How AVIAN learns normal heat patterns and flags abnormal drift.