Military vehicle in a monitored field environment

SE-Health Product

From Vehicle Data To Predictive Maintenance.

AI-assisted condition monitoring and predictive intelligence for military vehicles, armoured platforms and UAV fleets. SE-HEALTH is a public demonstrator for AI-enabled vehicle health monitoring, designed to turn telemetry

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02 Product intro

Know Your Fleet.
Predict Next.

Modern military platforms generate valuable data across vehicle systems, sensors and electronic control units. SE-HEALTH brings these data sources together to identify anomalies, monitor degradation and provide a clearer view of asset condition.

  • CAN and ECU data captured from a vehicle 01

    CAN /
    ECU Ingestion

    Capture vehicle data including RPM, load and diagnostic trouble codes.

  • Vibration waveform from a vehicle component 02

    Vibration
    Analytics

    Analyse vibration signatures associated with components such as bearings and gearboxes.

  • Thermal image of a vehicle system 03

    Thermal
    Analytics

    Monitor temperature behaviour across engines, motors and other critical components.

  • Battery health indicators 04

    Battery
    Health

    Track voltage, current and battery state-of-health indicators.

  • Anomaly highlighted in vehicle sensor data 05

    Anomaly
    Detection

    Identify signals and behaviours that deviate from expected operating patterns.

  • Fleet health dashboard 06

    Fleet Health
    Dashboard

    Give operators and maintenance teams a consolidated view of asset condition.

03 The SE-Health workflow

From Sensor Data
to Maintenance Decision.

  1. 01. Capture

    Collect data from connected vehicle systems and sensors.

  2. 02. Condition

    Prepare incoming signals for analysis.

  3. 03. Analyse

    Extract meaningful features from vehicle behavior.

  4. 04. Detect

    Identify anomalies and changes from expected behaviour.

  5. 05. Predict

    Analyse trends and degradation patterns.

  6. 06. Act

    Provide health scores, risk indicators and recommended actions.

04 Multi-source vehicle health

One Intelligence Layer.
Multiple Data Sources.

SE-HEALTH combines different vehicle and sensor inputs to create a consolidated picture of asset condition.

  • Vehicle engine and electronic control hardware

    CAN / ECU

    Vehicle data including: RPM • Load • DTC

  • Mechanical assembly monitored for vibration

    Vibration

    Monitor mechanical behaviour across components such as: Bearings • Gearboxes

  • Engine monitored for temperature

    Thermal

    Track temperature behaviour across: Engine • Motor

  • Vehicle battery pack

    Battery

    Monitor electrical health through: Voltage • Current • SOC / SOH

05 AI health engine

Turn Vehicle Data
Into Health Intelligence.

SE-HEALTH uses an AI health engine to process multiple signals and identify patterns that may indicate developing component issues.

  • Signal Conditioning

    Prepare raw telemetry and sensor signals for analysis.

  • Feature Extraction

    Transform sensor data into meaningful diagnostic features.

  • Anomaly Detection

    Identify behaviour that deviates from an established baseline.

  • Trend Analysis

    Track changes in asset behaviour over time.

  • Degradation Modelling

    Identify patterns that may indicate component degradation.

  • Health Scoring

    Translate complex data into understandable asset-health indicators.

Earth from orbit

Let’s Build Mission-Critical
Engineering Together.

Partner with SpeedEdge for mission-critical engineering, compliance and validation.

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