Industrial Edge AI for Early Anomaly Detection
XyloZero solutions
Condition signals and operating data, analyzed together to detect equipment anomalies early, on site.
Key capabilities
- Multimodal sensing
- PLC and drive integration
- Context Gating
- Edge AI inference
- Event selection
- Dashboard and alert integration
Applications
Application A
Industrial equipment monitoring
XyloZero
Equipment condition and operating data, analyzed together.
- Targets
- Motors, bearings, gearboxes, conveyors, pumps, fans, compressors, cranes, turbines, generators
- Functions
- Condition signal collection
- Operating data integration
- Analysis by operating state
- Anomaly event selection
- Inspection priorities
- Control and maintenance system integration
Application B
Battery fire early detection
Battery Fire Early Detection
Detects battery changes before thermal runaway.
- Targets
- AGVs, AMRs, electrified prime movers, ESS, battery packs
- Functions
- Sound event analysis
- Edge selection of precursor events
- Alarm and control-room integration
- On-site response support
Applications compared
| Application | Problem | Main targets | Main data | Operational result |
|---|---|---|---|---|
| Industrial equipment monitoring | Equipment anomaly detection | Rotating and industrial equipment | Sound, vibration, temperature and humidity, magnetic field, PLC and drive | Anomaly events, inspection priorities |
| Battery fire early detection | Battery fire precursor detection | AGVs, AMRs, electrified prime movers, ESS | Sound, temperature and humidity, VOC | Precursor events, event location |