서지주요정보
최소 분산 켑스트럼을 이용한 노이즈 속에 묻힌 임펄스 신호 검출 방법 = Detection of impulse signal in noise using minimum variance cepstrum
서명 / 저자 최소 분산 켑스트럼을 이용한 노이즈 속에 묻힌 임펄스 신호 검출 방법 = Detection of impulse signal in noise using minimum variance cepstrum / 최영철.
저자명 최영철 ; Choi, Young-Chul
발행사항 [대전 : 한국과학기술원, 2000].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8010905

소장위치/청구기호

학술문화관(문화관) 보존서고

MME 00080

휴대폰 전송

도서상태

이용가능

대출가능

반납예정일

초록정보

The signals that can be obtained from rotating machines often convey the information of machine. For example, whether the machine under investigation has faults or not, these signals often can be well expressed by pulse signals. Therefore the ability to detect of the fault signal would be major concern of fault diagnosis of rotating machine. Conventional cepstrum has been widely used in echo and fault detection. But one of the problems of finding impulse signal using the conventional cepstrum is that it is normally very sensitive to signal to noise ratio (SNR). In this thesis, a signal processing method to detect impulse signal in noisy environment is proposed. Because the proposed method minimizes signal power at a cepstrum domain, we propose to call 'Minimum Variance (MV) cepstrum'. Computer simulations have been performed to understand the characteristics of the MV cepstrum. Fault detection of ball bearing systems has been based on the idea to detect periodicities of impulse trains due to faults. In this regard, we designed the experiment on the bearing system that has various types of faults. Both the simulation and experiment confirmed that the MV cepstrum is a useful technique to detect impulse in noisy environment.

서지기타정보

서지기타정보
청구기호 {MME 00080
형태사항 ii, 113 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 : A, 합으로 표현 된 행렬의 역 행렬. - B, 자기 상관 함수의 역 행렬 구하기. - C, 주파수 윈도우 (Frequency window)
저자명의 영문표기 : Young-Chul Choi
지도교수의 한글표기 : 김양한
지도교수의 영문표기 : Yang-Hann Kim
학위논문 학위논문(석사) - 한국과학기술원 : 기계공학전공,
서지주기 참고문헌 : p. 97-98
주제 최소 분산 켑스트럼
최소 분산 스펙트럼
임펄스 신호
잡음
Minimum variance cepstrum
Minimum variance spectrum
Impulse signal
Noise
QR CODE qr code