Combustion anomaly detection via wavelet analysis of dynamic sensor signals
US7853433B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2009 |
| Grant date | Dec 14, 2010 |
| Priority date | — |
| Expiry date | Apr 18, 2029 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF23R2900/00013
- WIPO fieldThermal processes and apparatus
- WIPO sectorMechanical engineering
Abstract
The detection of combustion anomalies within a gas turbine engine is provided. A sensor associated with a combustor of the engine measures a signal that is representative of combustion conditions. A sampled dynamic signal is divided into time segments to derive a plurality of data points. The sampled dynamic signal is transformed to a form that enables detection of whether the sensed combustion conditions within the combustor are indicative of any combustion anomalies of interest. A wavelet transform is performed to calculate wavelet coefficients for the data points and at least one region of interest is targeted. The amplitude of each wavelet coefficient within each targeted region is normalized by a baseline signal. The normalized amplitudes of the wavelet coefficients are used to determine whether any combustion anomalies have occurred by comparing the normalized amplitudes of the wavelet coefficients within each target region to a predetermined threshold amplitude.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.