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Aero-engine Vibration Signal Blind Separation Based on BP Neural Network Algorithm
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.8 No.10 (2015.10)바로가기
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- 페이지
- pp.401-412
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A255782
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The normal running of the aero-engine is an important guarantee to the aviation aircraft flying in safe. As a result, the analysis and processing of the aero-engine vibration signal is an important task, which can realize the running state monitoring and fault diagnosis to the aviation aircraft. Due to the complexity of the aero-engine’s structure, the vibration signals of aero-engine from the sensors fixed upon the aero-engine’s brake often consist of several signals in aliasing, and also contain noise and other disturbance signal among them. The traditional vibration signal processing methods aiming at the anti-interference and de-noising have no significant effect. In addition, due to the non-linearity of the mixed signal, signal feature recognition and extraction is difficulties. This paper presented an application of the BP neural network to the aero-engine vibration signal separation, through the simulation of the aero-engine vibration signal induced by the high pressure rotor and low pressure rotor rotational imbalance; we proved the accuracy of the algorithm, which can separate the aero-engine vibration signal effectively. Through comparing with the fault spectrum characteristics of the aero-engine, the method can predict and diagnosis the aero-engine fault, which has a very important practical value.
목차
Abstract
1. Introduction
2. Structure and Fault Diagnosis of the Aero-engine
2.1. Structure of the Aero-engine
2.2. Vibration Signal Monitor
2.3. Fault Analysis of Aero-engine Rotor
3. Artificial Neural Network
3.1. Neurons Basic Structure Model
3.2. BP Neural Network
3.3. BP Network Learning Process
3.4. Aero-engine Vibration Signal Separation Method
4. Experiment and Simulation
5. Conclusion
Acknowledgements
References
저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.10
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