Performance Degradation Evaluation of Low Bypass Ratio Turbofan Engine Based on Flight Data
Haiqin Qin,
Jie Zhao,
Likun Ren,
Bianjiang Li and
Zhengguang Li
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Haiqin Qin: Department of Mechanical Engineering, Qingdao Campus, Naval Aviation University, Qingdao 266041, China
Jie Zhao: Department of Mechanical Engineering, Qingdao Campus, Naval Aviation University, Qingdao 266041, China
Likun Ren: Department of Mechanical Engineering, Qingdao Campus, Naval Aviation University, Qingdao 266041, China
Bianjiang Li: Department of Mechanical Engineering, Qingdao Campus, Naval Aviation University, Qingdao 266041, China
Zhengguang Li: Department of Mechanical Engineering, Qingdao Campus, Naval Aviation University, Qingdao 266041, China
Sustainability, 2022, vol. 14, issue 13, 1-12
Abstract:
A low bypass ratio turbofan engine operates in a hostile environment, resulting in performance degradation. This seriously affects the security and reliability of the engine. Therefore, a performance degradation evaluation method for engines based on flight data is proposed. The method expands the equation system to solve the underdetermined problem caused by the lack of engine sensors based on multiple operating point analysis. The improved evolution algorithm is employed to solve the equation system, which relieves the problem of insufficient precision. The engine performance degradation dataset is established based on the engine performance calculation model to verify the reliability of the degradation evaluation method. The results show that the method is applicable to the dataset. Finally, the method is applied to the actual flight data to study the law of the performance degradation of the researched engine, which indicates that the engine’s fan efficiency and high-pressure compressor flow capacity have an apparent downward trend over time.
Keywords: performance degradation; flight data; multiple operating point analysis; differential evolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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