• 제목/요약/키워드: Statistical Factor Analysis

검색결과 2,852건 처리시간 0.031초

Minimax Eccentricity Estimation for Multiple Set Factor Analysis

  • Hyuncheol Kang;Kim, Keeyoung
    • Journal of the Korean Statistical Society
    • /
    • 제31권2호
    • /
    • pp.163-175
    • /
    • 2002
  • An extended version of the minimax eccentricity factor estimation for multiple set case is proposed. In addition, two more simple methods for multiple set factor analysis exploiting the concept of generalized canonical correlation analysis is suggested. Finally, a certain connection between the generalized canonical correlation analysis and the multiple set factor analysis is derived which helps us clarify the relationship.

고도처리 하수처리장 운전조건의 통계분석 (Statistical Analysis of Operating Parameters on Advanced Wastewater Treatment Plant)

  • 이찬형;문경숙
    • 한국환경과학회지
    • /
    • 제14권2호
    • /
    • pp.251-258
    • /
    • 2005
  • Statistical analysis between operating parameters and effluent quality on advanced wastewater treatment plant was performed. Through factor analysis four factors derived varimax rotation were selected each plant. Four components explained $80\%,\;82\%$ of the total variance of the process, respectively. The components on MLE plant were identified in the following order: 1) HRT increase and BOD load decrease by influent decrease, 2) Biomass, 3) SVI increase by internal return increase, 4) Microbial diversity by SRT increase. On $A_2O$ plant, we defined them as follows: factor 1, high MLSS by return rate increase, HRT increase by influent decrease; factor 2, biomass; factor 3, BOD of influent; factor 4 was relate to DO.

On the Implementation of Maximum-likelihood Factor Analysis

  • Song, Moon-Sup;Park, Chi-Hoon
    • Journal of the Korean Statistical Society
    • /
    • 제9권1호
    • /
    • pp.13-29
    • /
    • 1980
  • The statistical theory of factor analysis is briefly reviewed with emphasis on the maximum-likelihood method. A modified version of Joreskog(1975) is used for the implementation of the maximum-likelihood method. For the minimization of the conditional minimum function, an adaptive Newton-Raphson method is applied.

  • PDF

고도처리 효율 향상을 위한 통계적 접근 (Improvement of Operating Efficiency on Advanced Wastewater Plant Using Statistical Approach)

  • 문경숙;민경섭;김승민;이찬형
    • 한국환경과학회지
    • /
    • 제17권4호
    • /
    • pp.405-412
    • /
    • 2008
  • Statistical analysis technique was applied to operating parameters and removal efficiency data sets obtained from advanced wastewater treatment plant during 1 year. Through factor analysis three factors derived varimax rotation were selected each plant. Three components explained 96%, 87% of the total variance of the process, respectively. The components on $A_2O$ Plant were identified in the following order : 1) Shortening the SRT during high-flow period, 2) Keeping biomass high on winter 3) factor was related to DO. On DNR plant, we defined them as follows: factor 1, Prolonged the SRT during high-flow period; factor 2 was related to sludge return; factor 3, Influent BOD during low-DO period. This technique was believed to assist operators in identifying priorities to improve operation efficiency.

음향-진동 신호의 고차 통계해석을 이용한 회전요소 베어링의 상황감시에 관한 연구 (A Study on the Condition Monitoring for Rolling Element Bearing using Higher Order Statistical Analysis of Sound-Vibration Signal)

  • 이해철;이준서;차경옥
    • Journal of Advanced Marine Engineering and Technology
    • /
    • 제24권4호
    • /
    • pp.405-413
    • /
    • 2000
  • This paper present study on the application of sound pressure and vibration signals to detect the presence of defects in a rolling element bearing using a statistical analysis method. The well established statistical parameters such as the crest factor and the distribution of moments including kurtosis and skew are utilized in this study. In addition, other statistical parameters derived from the beta distribution function are also used. A comparison study on the performance of the different types of parameter used is also performed. The statistical analysis is used because of its simplicity and quick computation. Under ideal conditions, the statistical method can be used to identify the different types of defect present in the bearing. In addition, the results also reveal that there is no significant advantages in using the beta function parameters when compared to using kurtosis and the crest factor for detecting and identifying defects in rolling element bearings from both sound and vibration signals.

  • PDF

A Diagnostic Method in Principal Factor Analysis

  • Kang-Mo Jung
    • Communications for Statistical Applications and Methods
    • /
    • 제6권1호
    • /
    • pp.33-42
    • /
    • 1999
  • A method of detecting influential observations in principal factor analysis is suggested. it is based on a perturbation of the empirical distribution function and an adoption of the local influence method. An illustrative example is given.

  • PDF

Resistant Principal Factor Analysis

  • Park, Youg-Seok;Byun, Ho-Seon
    • Journal of the Korean Statistical Society
    • /
    • 제25권1호
    • /
    • pp.67-80
    • /
    • 1996
  • Factor analysis is a multivariate technique for describing the in-terrelationship among many variables in terms of a few underlying but unobservable random variables called factors. There are various approaches for this factor analysis. In particular, principal factor analysis is one of the most popular methods. This follows the mathematical algorithm of the principal component analysis based on the singular value decomposition. But it is known that the singular value decomposition is not resistant, i.e., it is very sensitive to small changes in the input data. In this article, using the resistant singular value decomposition of Choi and Huh (1994), we derive a resistant principal factor analysis relatively little influenced by notable observations.

  • PDF

결함이 있는 회전요소 베어링에서 음향-진동 신호의 고차 통계해석 (Higher Order Statistical Analysis of Sound-Vibration Signal in Rolling Element Bearing with defects)

  • 이해철
    • 한국공작기계학회:학술대회논문집
    • /
    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
    • /
    • pp.49-56
    • /
    • 1999
  • This paper present a study on the application of sound pressure and vibration signals to detect the presence of defects in a rolling element bearing using a statistical analysis method. The well established statistical parameters such as the crest factor and the distribution of moments including kurtosis and skewless are utilized in this study. In addition, other statistical parameters derived from the beta distribution function are also used. A comparison study on the performance of the different types of parameter used is also performed. The statistical analysis is used because of its simplicity and quick computation. Under ideal conditions, the statistical method can be used to identify the different types of defect present in the bearing. In addition, the results also reveal that there is no significant advantages in using the beta function parameters when compared to using kurtosis and the crest factor for detecting and identifying defects in rolling element bearings from both sound and vibration signals.

  • PDF

통계적 에너지 해석법을 이용한 소형 잔향실의 연성손실계수 측정 (Calculation of Coupling Loss Factor for Small reverberation cabin using Statistical Energy Analysis)

  • 김관주;김운경;윤태중;김정태
    • 한국소음진동공학회:학술대회논문집
    • /
    • 한국소음진동공학회 2003년도 춘계학술대회논문집
    • /
    • pp.797-801
    • /
    • 2003
  • The Statistical Energy Analysis is based on the power flow and the energy conservation between sub-systems, which enable the prediction of acoustic and structural vibration behavior in mid-high frequency ranges. This paper discusses the identification of SEA coupling loss factor parameters from experimental measurements of small reverberation chamber sound pressure levels and structural accelerations. As structural subsystems, steel plates with and without damping treatment are considered. Calculated CLFs were verified by both transmission loss values for air-borne CLF case and running SEA commercial software As a result, CLFs have shown a good agreement with those computed by software. Acoustical behavior of air-borne noise and structure-borne noise has been examined. which shows reasonable results, too.

  • PDF