• 제목/요약/키워드: Diagnostic parameter

검색결과 174건 처리시간 0.033초

퍼지와 역전파신경망 기법을 사용한 터보프롭 엔진의 진단에 관한 연구 (Study on Fault Diagnostics of a Turboprop Engine Using Fuzzy Logic and BBNN)

  • 공창덕;임세명;김건우
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2010년도 제35회 추계학술대회논문집
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    • pp.499-505
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    • 2010
  • 다양한 비행환경에서 장시간 체공하며 운용되는 UAV에서 추진시스템을 신뢰성 있게 운용하는 것은 매우 중요하다. 이런 UAV에 사용되는 터보프롭 엔진의 정확한 손상진단은 신뢰성과 이용률을 향상시킬 수 있다. 본 연구에서는 엔진 측정 파라미터들의 변화로부터 퍼지 이론을 적용하여 손상된 구성품을 식별한 후 훈련된 신경망 알고리즘을 식별된 손상 패턴에 적용하여 손상된 양을 정확히 진단할 수 있는 방법을 제안하였다. 이렇게 제안된 진단 방법은 단일손상과 다중손상 모두 진단할 수 있다.

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A Study on Detection of Influential Observations on A Subset of Regression Parameters in Multiple Regression

  • Park, Sung Hyun;Oh, Jin Ho
    • Communications for Statistical Applications and Methods
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    • 제9권2호
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    • pp.521-531
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    • 2002
  • Various diagnostic techniques for identifying influential observations are mostly based on the deletion of a single observation. While such techniques can satisfactorily identify influential observations in many cases, they will not always be successful because of some mask effect. It is necessary, therefore, to develop techniques that examine the potentially influential effects of a subset of observations. The partial regression plots can be used to examine an influential observation for a single parameter in multiple linear regression. However, it is often desirable to detect influential observations for a subset of regression parameters when interest centers on a selected subset of independent variables. Thus, we propose a diagnostic measure which deals with detecting influential observations on a subset of regression parameters. In this paper, we propose a measure M, which can be effectively used for the detection of influential observations on a subset of regression parameters in multiple linear regression. An illustrated example is given to show how we can use the new measure M to identify influential observations on a subset of regression parameters.

Development of the Korean Practice Parameter for Adult Attention-Deficit/Hyperactivity Disorder

  • Bahn, Geon Ho;Lee, Young Sik;Yoo, Hanik K.;Kim, Eui-Jung;Park, Subin;Han, Doug Hyun;Hong, Minha;Kim, Bongseog;Lee, Soyoung Irene;Bhang, Soo Young;Lee, Seung Yup;Hong, Jin Pyo;Joung, Yoo-Sook
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제31권1호
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    • pp.5-25
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    • 2020
  • Objectives: Adult attention-deficit/hyperactivity disorder (ADHD) is an important mental health problem that needs resolution, especially considering the high rates of ADHD continuation from childhood to adolescence/adulthood and the high prevalence of ADHD in adults. Adults with ADHD have lifelong negative impacts and require close monitoring with long-term follow-up. Hence, the establishment of a Korean practice parameter for adult ADHD is necessary to minimize discontinuation of treatment and enable information sharing among Korean mental health professionals. Methods: The Korean practice parameter was developed using an evidence-based approach consisting of expert consensus survey coupled with literature review. Results: According to the expert consensus survey, the most commonly used diagnostic methods were clinical psychiatric interview (20.66%) and self-report scales (19.25%) followed by attention (14.71%) and psychological tests (14.24%). Key evaluation instruments currently available in Korea are the World Health Organization Adult ADHD Self-Report Rating Scale, Korean Adult ADHD Rating Scale, Diagnostic Interview for ADHD in Adults, Barkley Deficits in Executive Functioning Scale for adults, Comprehensive Attention Test, Conners' Continuous Performance Test, and the subtests of Wechsler Adult Intelligence Scale, Digit Span and Letter-Number Sequencing. Although pharmacotherapy is recommended as the first-line of treatment for adult ADHD, we recommend that it be followed by a multimodal and multidisciplinary approach including psychoeducation, pharmacotherapy, cognitive behavior therapy and coaching. Conclusion: The Korean practice parameter introduces not only general information for the diagnosis and treatment of adult ADHD on a global scale, but also the process of diagnosis and treatment options tailored to the Korean population.

흉막액 Cholesterol 농도에 대한 진단적 의의 (A Diagnostic Significance of Pleural Fluid Cholesterol Level)

  • 김영균;권순석;김관형;한기돈;문화식;송정섭;박성학
    • Tuberculosis and Respiratory Diseases
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    • 제38권3호
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    • pp.262-269
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    • 1991
  • The purpose of this study is to investigate the utility of the pleural fluid cholesterol level in separating the exudates from the transudates, and in differentiating tuberculous exudates from non-tuberculous exudates, 52 patients with pleural effusion were involved in this prospective study. By predefined criteria, 40 of these effusions were classified as exudates (Group I) and 12 as transudates (Group II). Group I was subdivided into tuberculous exudates (Group A) and non-tuberculous exudates (Group B). The followings are parameters used in separating the exudates from the transudates; pleural protein (P-PROT) 3.0 g/dl, pleural protein/serum protein ratio (P/S PORT) 0.5, pleural LDH (P-LDH) 200 IU, pleural LDH/serum LDH ratio (P/S LDH) 0.6, pleural cholesterol (P-CHOL) 50 mg/dl and pleural cholesterol/serum cholesterol ratio (P/S CHOL) 0.4. Mean values of the parameters in each group were compared, and then misclassified rate and the dignostic efficiency for each parameter were calculated. The results were as follows; 1) Mean P-CHOL ($94.98{\pm}73.86\;mg/dl$) in Group I was higher than that ($36.5{\pm}26.5\;mg/dl$) in Group II (p<0.05), but there was no significant difference in mean P-CHOL between Group A and Group B. 2) Mean P/S CHOL ($0.64{\pm}0.39$) in Group I was also higher than that ($0.27{\pm}0.15$) in Group II (p<0.01), but no difference was observed in mean P/S CHOL between Group A and Group B. 3) Misclassified rates for each parameter in separating the exudates from the transudates were as follows; P-PROT 1.9%. P/S PROT 3.8%. P-CHOL 9.6%, P/S CHOL 11.5%, P/S LDH 11.5%, and P-LDH 17.3%. 4) Diagnostic efficiencies for each parameter in separating the exudates from the transudates were as follows; P-PROT 98.1%, P/S PROT 96.2%. P-CHOL 90.4%. P/S CHOL 88.5%, P/S LDH 88.5%, and P-LDH 82.7%. In conclusion, we think that the pleural fluid chloesterol level could be used as a supportive parameter in separating the exudates from the transudates, but could not be used as a parameter in differentiating tuberculous exudates from non-tuberculous exudates.

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Diagnostic Study of Problems under Asymptotically Generalized Least Squares Estimation of Physical Health Model

  • Kim, Jung-Hee
    • 대한간호학회지
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    • 제29권5호
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    • pp.1030-1041
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    • 1999
  • This study examined those problems noticed under the Asymptotically Generalized Least Squares estimator in evaluating a structural model of physical health. The problems were highly correlated parameter estimates and high standard errors of some parameter estimates. Separate analyses of the endogenous part of the model and of the metric of a latent factor revealed a highly skewed and kurtotic measurement indicator as the focal point of the manifested problems. Since the sample sizes are far below that needed to produce adequate AGLS estimates in the given modeling conditions, the adequacy of the Maximum Likelihood estimator is further examined with the robust statistics and the bootstrap method. These methods demonstrated that the ML methods were unbiased and statistical decisions based upon the ML standard errors remained almost the same. Suggestions are made for future studies adopting structural equation modeling technique in terms of selecting of a reference indicator and adopting those statistics corrected for nonormality.

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ARMA Modeling for Nonstationary Time Series Data without Differencing

  • Shin, Dong-Wan;Park, You-Sung
    • Journal of the Korean Statistical Society
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    • 제28권3호
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    • pp.371-387
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    • 1999
  • For possibly nonstationary autoregressive moving average, modeling based on the original observations rather than the differenced observations is considered. Under this scheme, sample autocorrelation functions, parameter estimates, model diagnostic statistics, and prediction are all computed from the original data instead of the differenced data. The methods and results established under stationarity of data are shown to naturally extend to the nonstationarity of one autoregressive unit root. The sample ACF and PACF can be used for ARMA order determination. The BIC order is strongly consistent. The parameter estimates are asymptotically normal. The portmanteau statistic has chi-square distribution. The predictor is asymptotically equivalent to that based on the differenced data.

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다구찌 방법을 이용한 공정변수의 최적화

  • 이수호;박원식;조형석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.907-910
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    • 1995
  • Though SLA(Stereolithography Apparatus) is being recognized as an innovative technology, it still can not be used to fully practical applications since it lacks of dimensional accuracy compared to conventional processes. In SLA, the accuracy of cured part depends upon the set of process parmeters. In order to improve the accuracy of SLA, this paper quantitatively evaluates how largely each process parameter of SLA contributes to the part accuracy and estimates the optimal set of process parameter which minimizes the dimensional errors of the test part, "letter-H" part. For this purpose, we use ANOVA(analysis of variance) and S/N(signal-to-noise)ratio of Taguchi method.hi method.

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분포매개변수를 이용한 디스크 브레이크의 마찰기인 불안정성 해석 (Analysis of the Friction Induced Instability of Disc Brake using Distributed Parameter Model)

  • 차병규;조용구;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 춘계학술대회논문집
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    • pp.601-606
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    • 2004
  • This paper deals with friction-induced vibration of disc brake system under constant friction coefficient. A linear, lumped and distributed parameter model to represent the floating caliper disc brake system is proposed. The complex eigenvalues are used to investigate the dynamic stability and in order to verify simulations which are based on the theoretical model, the experimental modal test and the dynamometer test are performed. The comparison of experimental and theoretical results shows a good agreement and the analysis indicates that mode coupling due to friction force is responsible for disc brake squeal. And squeal type instability is investigated by using the parametric analysis. This indicates parameters which have influence on the propensity of brake squeal. This helped to validate the analysis model and establish confidence in the analysis results. Also they may be useful during system development or diagnostic analysis.

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분포매개변수를 이용한 디스크 브레이크의 마찰기인 불안정성 해석 (Analysis of the Friction Induced Instability of Disc Brake Using Distributed Parameter Model)

  • 차병규;조용구;홍정혁;이유엽;이정윤;오재응
    • 한국소음진동공학회논문집
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    • 제14권8호
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    • pp.702-708
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    • 2004
  • This paper deals with friction-induced vibration of disc brake system under constant friction coefficient. A linear, lumped and distributed parameter model to represent the floating caliper disc brake system is proposed. The complex eigenvalues are used to investigate the dynamic stability and in order to verify simulations which are based on the theoretical model, the experimental modal test and the dynamometer test are performed. The comparison of experimental and theoretical results shows a good agreement and the analysis indicates that mode coupling due to friction force is responsible for disc brake squeal. And squeal type Instability is Investigated by using the parametric analysis. This indicates parameters which have influence on the propensity of brake squeal. This helped to validate the analysis model and establish confidence in the analysis results. Also they may be useful during system development or diagnostic analysis.

Transfer Function 모형을 이용한 수도물 수요의 단기예측 (A Short-term Forecasting of Water Supply Demands by the Transfer Function Model)

  • 이재준
    • 상하수도학회지
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    • 제10권2호
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    • pp.88-103
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    • 1996
  • The objective of this study is to develop stochastic and deterministic models which could be used to synthesize water application time series. Adaptive models using mulitivariate ARIMA(Transfer Function Model) are developed for daily urban water use forecasting. The model considers several variables on which water demands is dependent. The dynamic response of water demands to several factors(e.g. weekday, average temperature, minimum temperature, maximum temperature, humidity, cloudiness, rainfall) are characterized in the model by transfer functions. Daily water use data of Kumi city in 1992 are employed for model parameter estimation. Meteorological data of Seonsan station are utilized to input variables because Kumi has no records about the meteorological factor data.To determine the main factors influencing water use, autocorrelogram and cross correlogram analysis are performed. Through the identification, parameter estimation, and diagnostic checking of tentative model, final transfer function models by each month are established. The simulation output by transfer function models are compared to a historical data and shows the good agreement.

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