Verit AI — Solution
TU Predictive Failure
Early failure prediction and Remaining Useful Life (RUL) for tuning units—before service disruption.
Agentic workflowsEvidence-linked outputsPolicy + approvals
Outcomes
- Detects early indicators from voltage and temperature trends.
- Forecasts failure probability and Remaining Useful Life (RUL).
- Enables proactive replacement in planned maintenance windows.
Deployment
Field-ready instrumentation approach (voltage + temperature)
Dashboard for waveforms, trends, and smart thresholds
Alerting integrated into maintenance routines
How it works
Non-invasive sensing
Step 1
Instrument TU voltage and temperature safely with field-ready probes.
Secure telemetry
Step 2
Stream readings to the server with integrity and audit controls.
Anomaly + RUL
Step 3
Identify deterioration rate, threshold breaches, and predict RUL.
Operational workflows
Step 4
Prioritize replacement schedules and attach evidence to actions.
AI under the hood
- Degradation modelling on voltage/temperature trends with rate-of-change features.
- RUL estimation with confidence bounds and alert thresholds tuned to maintenance windows.
- Evidence-linked alerts: show waveforms and context to support technician decisions.
We deploy agentic systems with guardrails: evidence, policies, approvals, and auditability.
Integration note
Verit AI solutions are designed to integrate with existing enterprise workflows and systems. We typically start with a short discovery to map data sources, constraints, and success metrics.
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