Study of Autoregressive (AR) Spectrum Estimation Algorithm for Vibration Signals of Industrial Steam Turbines
-
- 발행기관
- 보안공학연구지원센터(IJCA) 바로가기
-
- 간행물
- International Journal of Control and Automation SCOPUS 바로가기
-
- 통권
- Vol.7 No.8 (2014.08)바로가기
-
- 페이지
- pp.349-362
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A230127
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Spectral analysis of the vibration signals of industrial steam turbines provides efficient reference for the characterization and discrimination of turbine faults. Conventional power spectrum estimation methods often exhibit contradiction between variance performance and resolution, leading to poor estimation results. In this study, we investigated Levision-Durbin recursive algorithm, Burg algorithm and periodogram power spectrum estimation algorithm, and also chose Akalke Information Criterion (AIC) to identify the optimal order p. Based on MATLAB, we wrote a simulation program for Autoregressive (AR) spectrum estimation algorithm and designed a graphic user interface, formulating the AR spectrum estimation algorithm program for vibration signals of industrial steam turbines. After field measurement of a steam turbine with sampling number of 400 and frequency of 256Hz, as well as order of 10 and 80, simulation was performed. It was demonstrated that AIC provides efficient reference for the identification of proper order. With the optimal order, AR spectrum estimation algorithm produces good variance performance and resolution, providing reference for the spectral analysis of vibration signals of industrial steam turbines.
목차
Abstract
1. Introduction
2. Algorithms
2.1. Periodogram Power Spectrum Estimation Algorithm
2.2. AR Power Spectrum Estimation Algorithm
3. Design of GUI and Program
3.1. Signal Selection Function
3.2. Parameter Display Function
3.3. Single Selection of Mutual Exclusion
3.4. Parameter Setup Function
3.5. Power Spectrum Estimation Function
4. Performance Analysis of the Algorithm
4.1. Signal Collection
4.2. Result and Analysis of Periodogram Estimation
4.3. Results of L-D recursive algorithm- and Burg algorithm-based AR spectrum estimations
4.4. Comparison between Periodogram Method and AR Spectrum Estimation
4.5. Comparison between L-D recursive Algorithm and Burg Algorithm
4.6. Influences of Order on AR Spectrum Estimation Result
5. Conclusions
References
키워드
Steam turbine Vibration signal Autoregressive (AR) model Power spectrum estimation MATLAB저자
간행물 정보
발행기관
-
- 발행기관명
- 보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
- 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
-
- 간행물명
- International Journal of Control and Automation
- 간기
- 월간
- pISSN
- 2005-4297
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.8
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
0개의 논문이 장바구니에 담겼습니다.