Detect the change
Compare behavior with the asset’s operating envelope and historical condition.
Predictive maintenance software
Know what is changing. Plan what happens next.
Connect condition signals, physics, and service history to a maintenance decision. Keep the explanation with the work and the result.
Connected through the TwinEdge platformExplain the change behind the trend01 / SYSTEM VIEW
01Baseline02Compare03Explain04Prioritize
START WITHSignals + comparable conditions
TWINEDGE CONNECTSExplain the change behind the trend
MOVE FORWARD WITHA finding teams can use
THE WORKFLOW
From developing condition to completed work.
Explain the priority
Bring contributing signals, failure history, and remaining-life context into the review.
Complete the loop
Prepare work, capture the field result, and check the equipment after the intervention.
FROM THE PRODUCT
See the work in context.
Select a screen to explore the workflow. Open it for a closer look.
01 / INSIDE TWINEDGE
Physics insights
Explore equipment findings and their engineering context.
BUILT FOR THE OPERATION
What makes the workflow work.
Condition and anomaly context
Evaluate trends, operating envelopes, anomalies, and asset-specific state instead of treating an alert as an isolated number.
Physics and remaining-life models
Use supported degradation, performance, and remaining-life models with named inputs, limits, and confidence context.
Explainable recommendations
Show contributing signals, source evidence, model context, likely impact, limitations, and the next recommended check.
Approved work handoff
Draft maintenance scope, timing, parts, procedures, and field tasks for review before work enters execution.
BEFORE YOU START
A few useful answers.
What is predictive maintenance software?
Predictive maintenance software uses condition data, operating context, models, and history to identify degradation or failure risk early enough for a team to review and plan an appropriate response.
How is predictive maintenance different from predictive analytics?
Predictive analytics estimates likely future equipment behavior. Predictive maintenance is the operating response: reviewed work, parts, schedule, and closeout. TwinEdge Agentic Analytics produces the finding; AssetOps carries the approved job.
How does TwinEdge connect a prediction to a work order?
TwinEdge keeps the asset, source signals, model output, assumptions, limitations, and recommended response together, then drafts work scope for configured planner or engineering approval.
Does TwinEdge require cloud connectivity?
No single deployment model is required. TwinEdge OS can collect, buffer, and run supported inference locally, while TwinEdge Platform coordinates fleet, model, work, and evidence workflows when connectivity and policy allow.
Can predictive maintenance eliminate physical inspections?
No. Connected evidence can reduce unnecessary checks and focus inspections, but physical verification remains necessary where telemetry, model confidence, safety policy, or the failure mode requires it.
THE NEXT CONNECTION
Explore the product familyBuild the rest of your loop.
START WITH YOUR OPERATION
Put the next decision in motion.
Discuss your sources, assets, and the outcomes your team wants to improve.