Aircraft Prognostics and Health Management Platform with Multi-source Data Fusion, Dual-driven Framework, and Three-tier Early Warning
Product Details
| Data Compatibility: | Hundreds Of Time-series Data Types Including QAR, ACARS, Vibration, Temperature, Pressure, Rotating Speed, Oil Condition, Flight Control Parameters And Meteorological Data | Data Access Modes: | Real-time Edge-based Airborne Collection, Bulk Post-flight Data Upload And Remote Cloud Streaming |
|---|---|---|---|
| Fault Prediction Accuracy: | Above 85% | Early Warning Time: | 100 To 200 Flight Hours In Advance |
| Deployment Architecture: | End-Edge-Cloud Three-tier | Reduction In Maintenance: | 15%-25% |
Product Description
Developed by Beijing Wanwei Hi-Tech, this system is an aviation Prognostics and Health Management (PHM) platform built on key national research and development achievements. It integrates multi-source airborne data, mechanical failure mechanisms and AI algorithms to deliver early fault warning, precise fault localization and maintenance decision support.
The platform serves commercial aircraft, general aviation fleets, aero-engines, defense aircraft and UAVs.
- Compatible with hundreds of time-series data types including QAR, ACARS, vibration, temperature, pressure, rotating speed, oil condition, flight control parameters and meteorological data
- Automatically performs outlier elimination, noise reduction, time-space alignment and standardized preprocessing
- Supports three data access modes: real-time edge-based airborne collection, bulk post-flight data upload and remote cloud streaming
- Leverages existing airborne sensors without large-scale hardware retrofitting
- Combines aviation thermodynamics, rotor dynamics and fatigue damage mechanism models with LSTM, Transformer time-series AI algorithms
- Adopts small-sample fault learning framework to address scarcity of aviation fault datasets
- Provides interpretable fault outputs including abnormal parameter curves, spectrum features and root cause tracing paths
- Computes overall health scores for aero-engines, flight control, hydraulic, bleed air, landing gear and environmental control systems
- Calculates Remaining Useful Life (RUL) of key components
- Graded alerts (Notice / Warning / Critical) effectively filter invalid alarms
- Enables early risk identification 100 to 200 flight hours in advance
- Embeds aircraft maintenance manuals and tens of thousands of historical fault cases
- Automatically matches similar failure records and recommends troubleshooting procedures
- Equipped with lightweight digital twin modules for 3D visual fleet monitoring
- Provides AR-assisted on-site maintenance guidance
Full intellectual property rights of all algorithms, software and platform modules. Flexible adaptation to global commercial aircraft, new-generation aero-engines, general aviation fleets and industrial UAVs.
Rapid model commissioning using only normal operational data. Deployment cycle shortened from several months to several weeks.
No large-scale onboard hardware modification required. Overall procurement, operation and customized service costs reduced by over 35% compared to mainstream European and American PHM products.
Transforms traditional scheduled maintenance and breakdown-repair modes into intelligent condition-based maintenance.
- Reduce unscheduled aircraft ground time by over 30%
- Cut overall maintenance expenditure by 15%-25%
- Optimized spare parts management and extended service life of high-value components
- Automatically generate reliability reports and audit logs for aviation authority compliance
- Continuous self-optimization with accumulated fleet operational data
Health monitoring for narrow-body, wide-body and cargo aircraft fleets. Early failure prediction for turbofan engines and condition surveillance of critical systems.
Pre-overhaul aircraft health screening and residual service life evaluation of returned aero-engines.
Predictive maintenance for business jets, agricultural aircraft, patrol fixed-wing aircraft and helicopters.
Real-time airborne fault detection and secure on-premises deployment for sensitive operation scenarios.
Product Highlights
Aircraft Prognostics, Fault Diagnosis & PHM Intelligent Decision-Making Platform integrates multi-source data, physical mechanisms and AI for early fault warning, precise diagnosis and maintenance support. Features dual-driven framework, three-tier early warning, expert knowledge base and flexible deployment. Reduces maintenance costs by 15%-25% and unscheduled downtime by over 30%.
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