Colibri Use Case · Predictive Asset Intelligence

Predictive health, vibration IoT,
and automated lifecycle maintenance.

Eliminate unplanned downtime across critical machinery, edge servers, clinical MRI systems, and utility assets. Colibri turns raw sensor streams into automated work orders.

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Predictive hydraulic pressure, engine acoustic health, and structural load telemetry · 340 Machines Active

Asset Reliability Architecture

Heavy Earthmoving Machinery & Mobile Cranes

Mining companies, civil contractors, and port operators deploy multi-million dollar excavators, bulldozers, and crawler cranes. Colibri analyzes hydraulic fluid temperatures, engine vibration harmonics, and load moment indicators to eliminate catastrophic field failures.

The Maintenance Challenge

Unpredicted hydraulic cylinder bursts and engine bearing seizures cause job site shutdowns costing over $40,000 per hour in idle crews.

The Colibri Predictive Solution

Colibri correlates high-frequency vibration sensors with engine oil spectrometer readings, alerting maintenance chiefs days before mechanical fatigue causes a breakdown.

Core Monitoring & Telematics Capabilities

Acoustic vibration spectrum FFT analysis detecting bearing micro-spalls
Hydraulic pressure spike and fluid thermal degradation monitoring
Load moment indicator (LMI) structural strain limit alerts
Automated SAP PM and Maximo work order creation with part number ordering

Sensor Ingest & Automated Maintenance Pipeline

Step 01
CAN-Bus Sensor Stream

Stream hydraulic pressures, engine RPM, and fluid temperatures via telematics gateways.

Step 02
Harmonic FFT Processing

Transform raw accelerometer data to detect early planetary gear fatigue frequencies.

Step 03
Predictive Work Order

Generate automated maintenance tickets with recommended torque specs and replacement seals.

Step 04
Equipment Lifecycle Ledger

Track Total Cost of Ownership (TCO) and residual asset appraisal values.

Measured Asset Reliability Gains
47%
Reduction in Unplanned Machinery Downtime
3.8x
Extended Hydraulic Cylinder Lifespan
$1.4M
Average Annual Maintenance Savings Per Fleet
Predictive Remaining Useful Life (RUL)

Physics-informed machine learning models for early mechanical wear.

Acoustic FFT Telemetry

High-frequency piezo accelerometers sample up to 20kHz to isolate outer-race bearing defects long before thermal expansion occurs.

CMMS & ERP Connectors

Pre-integrated bi-directional hooks for SAP Plant Maintenance (PM), IBM Maximo, and ServiceNow FSM to dispatch work orders automatically.

ISO 55001 Compliance

Generate standardized asset health appraisal logs, tracking life-cycle risk, carbon emissions, and replacement capital expenditure plans.

Asset Management Integration Questions

Can Colibri connect to legacy equipment without native IoT sensors?

Yes. Colibri supports magnetic retrofitted triaxial vibration pucks, clamp-on current transformers, and Modbus/RS-485 interfaces requiring zero machine teardown.

How accurate are the remaining useful life (RUL) predictions?

Colibri achieves over 92% precision in predicting mechanical bearing failures with a minimum 14-day lead time before operational limits are breached.

Does Colibri support multi-site enterprise deployments?

Yes. Colibri manages global fleets across dozens of geographically distributed manufacturing plants, yards, and data center facilities within a single multi-tenant pane.

Protect multi-million dollar machinery with automated telemetry.

Join leading industrial operators who have eliminated unexpected machinery failure with Colibri.