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    VibraQore — Predictive maintenance

    Detect bearing/imbalance faults early and plan interventions to avoid unplanned downtime.

    60–90 day
    KPI-gated
    Edge
    Cloud

    Get a live demo with your asset data

    Fewer Unplanned Breakdowns
    ↓ 35%
    Average Failure Warning → 14 days
    Maintenance ROI
    ↑ 3x

    Outcomes

    Fewer Unplanned Breakdowns ↓ 35%
    Average Failure Warning → 14 days
    Maintenance ROI ↑ 3x

    Key Features

    Multi-Axis Vibration Intelligence

    Continuous monitoring across X, Y, Z axes with FFT analysis. Detects imbalance, misalignment, bearing wear, and looseness patterns invisible to periodic checks. Supports accelerometers from 100Hz to 20kHz.

    14-Day Failure Forecasting

    ML models trained on your equipment's historical data predict failures up to 14 days in advance. Confidence scores and degradation curves let you plan repairs during scheduled downtime—not emergencies.

    Native CMMS & EAM Integration

    Pre-built connectors for SAP PM, IBM Maximo, Fiix, and UpKeep. Work orders auto-generate with predicted failure type, affected asset, and recommended parts. No manual data entry.

    AI-Optimized Scheduling

    Automatically prioritizes maintenance tasks by failure probability, production impact, and technician availability. Balances workload across shifts and minimizes production disruption.

    VibraQore vs. Traditional Approaches

    CapabilityVibraQoreScheduled MaintenanceBasic Vibration Monitoring
    Failure Prediction14 days advanceNone (reactive)Threshold alerts only
    False Alarm Rate<5%N/A30-50%
    CMMS IntegrationNative (auto work orders)Manual entryExport only
    ML LearningContinuousNoneStatic rules
    Multi-failure Detection✓ (12+ failure modes)Limited (2-3 types)
    ROI Timeline60-90 daysN/A6-12 months

    Technical Specifications

    What it does

    • Vibration + current + thermal fusion models
    • Asset health scoring & remaining-useful-life hints
    • Work order suggestions to CMMS
    • Parts & labor forecasting
    • Drift & seasonality monitoring

    How it works

    Sensors → feature/ML → alerting → CMMS → trend dashboard

    Built for Critical Equipment

    Rotating Equipment

    Motors, pumps, compressors, fans, turbines

    Detect bearing wear 2-3 weeks before failure

    Gearboxes & Drives

    Reducers, conveyors, extruders, mixers

    Identify gear tooth damage and misalignment

    CNC & Precision Machinery

    Spindles, tool changers, linear guides

    Maintain machining accuracy, prevent scrap

    HVAC & Utilities

    Chillers, cooling towers, air handlers

    Avoid facility shutdowns from utility failures

    What you get

    • Sensor plan & install guide (or use existing)
    • Feature extraction pipelines & thresholds
    • Alert rule book + escalation tree
    • CMMS adapters (create/update WO)
    • Health dashboard + weekly summary

    Deployments & integrations

    • Edge gateway + cloud sync
    • On-prem viable
    • Existing sensor integration (vibration, current, thermal)

    Security & governance

    • RBAC with maintenance/manager/admin roles
    • Audit trail for all work order suggestions
    • Evidence export for compliance
    • TLS 1.3 for all communications

    Related

    Products

    SENTRA

    Services

    Data & Analytics Platform
    MLOps

    Industries

    Manufacturing
    Energy & Utilities

    Frequently Asked Questions

    Stop Guessing When Equipment Will Fail

    VibraQore customers see 35% fewer unplanned breakdowns in 90 days

    Or call us: +1-512-200-2416

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