| contributor author | Randal T. Rausch | |
| contributor author | Kai F. Goebel | |
| contributor author | Neil H. Eklund | |
| contributor author | Brent J. Brunell | |
| date accessioned | 2017-05-09T00:23:34Z | |
| date available | 2017-05-09T00:23:34Z | |
| date copyright | October, 2007 | |
| date issued | 2007 | |
| identifier issn | 1528-8919 | |
| identifier other | JETPEZ-26973#962_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/135662 | |
| description abstract | In-flight fault accommodation of safety-critical faults requires rapid detection and remediation. Indeed, for a class of safety-critical faults, detection within a millisecond range is imperative to allow accommodation in time to avert undesired engine behavior. We address these issues with an integrated detection and accommodation scheme. This scheme comprises model-based detection, a bank of binary classifiers, and an accommodation module. The latter biases control signals with pre-defined adjustments to regain operability while staying within established safety limits. The adjustments were developed using evolutionary algorithms to identify optimal biases off-line for multiple faults and points within the flight envelope. These biases are interpolated online for the current flight conditions. High-fidelity simulation results are presented showing accommodation applied to a high-pressure compressor fault on a commercial, high-bypass, twin-spool, turbofan engine throughout the flight envelope. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Integrated in-Flight Fault Detection and Accommodation: A Model-Based Study | |
| type | Journal Paper | |
| journal volume | 129 | |
| journal issue | 4 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.2720517 | |
| journal fristpage | 962 | |
| journal lastpage | 969 | |
| identifier eissn | 0742-4795 | |
| keywords | Engines | |
| keywords | Compressors | |
| keywords | Flight | |
| keywords | Flaw detection | |
| keywords | High pressure (Physics) AND Sensors | |
| tree | Journal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 004 | |
| contenttype | Fulltext | |