An enhanced aircraft engine gas path diagnostic method based on upper and lower singleton type-2 fuzzy logic system
| Autor: | Eduardo Pestana de Aguiar, Pedro Henrique Souza Calderano, Ricardo Tanscheit, Mateus Gheorghe de Castro Ribeiro, Renan Piazzaroli Finotti Amaral, Marley M. B. R. Vellasco |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Evaluation strategy business.industry Computer science Singleton Aviation Mechanical Engineering Applied Mathematics General Engineering Aerospace Engineering 02 engineering and technology Benchmarking Propulsion Industrial and Manufacturing Engineering Reliability engineering 020901 industrial engineering & automation Software Automotive Engineering Path (graph theory) Method of steepest descent business |
| Zdroj: | Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41 |
| ISSN: | 1806-3691 1678-5878 |
| DOI: | 10.1007/s40430-019-1567-4 |
| Popis: | The gas turbine is the most common engine used in the majority of commercial aircraft. Regarding the economic and social importance of aviation, methods that can identify faults in gas turbines with precision are relevant. Aiming to detect and classify the gas turbine faults, this work uses the upper and lower singleton type-2 fuzzy logic system trained by steepest descent method. Succeeding the model presentation, comparisons are performed with other models proposed in the literature to diagnose gas turbine faults. The investigated data set was obtained from the software Propulsion Diagnostic Method Evaluation Strategy, which was developed by the National Aeronautics and Space Administration for benchmarking purposes in aviation gas turbines. The experimental results show that the upper and lower singleton type-2 fuzzy logic system model had a greater detection and classification performance than the models reported in the literature. |
| Databáze: | OpenAIRE |
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