Fault detection system and method using augmented data and fuzzy logic
US7734400B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2003 |
| Grant date | Jun 8, 2010 |
| Priority date | — |
| Expiry date | Oct 8, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method that provides improved fault detection in turbine engines is disclosed. The fault detection system provides the ability to detect symptoms of engine faults based on a relatively limited number of engine parameters that are sampled relatively infrequently. The fault detection system includes a sensor data processor that receives engine sensor data during operation and augments the sensor data. The augmented data set is passed to a fuzzy logic inference system that determines the likelihood that a fault has occurred. The inference system output can then be passed to a diagnostic system where evaluation of the output may yield a detailed diagnostic result and a prediction horizon.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.