• Title/Summary/Keyword: 다변수 통계처리

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A Study on Fault Detection Monitoring and Diagnosis System of CNG Stations based on Principal Component Analysis(PCA) (주성분분석(PCA) 기법에 기반한 CNG 충전소의 이상감지 모니터링 및 진단 시스템 연구)

  • Lee, Kijun;Lee, Bong Woo;Choi, Dong-Hwang;Kim, Tae-Ok;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.18 no.3
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    • pp.53-59
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    • 2014
  • In this study, we suggest a system to build the monitoring model for compressed natural gas (CNG) stations, operated in only non-stationary modes, and perform the real-time monitoring and the abnormality diagnosis using principal component analysis (PCA) that is suitable for processing large amounts of multi-dimensional data among multivariate statistical analysis methods. We build the model by the calculation of the new characteristic variables, called as the major components, finding the factors representing the trend of process operation, or a combination of variables among 7 pressure sensor data and 5 temperature sensor data collected from a CNG station at every second. The real-time monitoring is performed reflecting the data of process operation measured in real-time against the built model. As a result of conducting the test of monitoring in order to improve the accuracy of the system and verification, all data in the normal operation were distinguished as normal. The cause of abnormality could be refined, when abnormality was detected successfully, by tracking the variables out of the score plot.

Metabolic comparison between standard medicinal parts and their adventitious roots of Cynanchum wilfordii (Maxim.) Hemsl. using FT-IR spectroscopy after IBA and elicitor treatment (IBA 및 elicitor 처리에 따른 백수오 기내 생산 부정근 및 표준품의 FT-IR 스펙트럼 기반 대사체 비교 분석)

  • Ahn, Myung Suk;So, Eun Jin;Jie, Eun Yee;Choi, So Yeon;Park, Sang Un;Moon, Byeong Cheol;Kang, Young Min;Min, Sung Ran;Kim, Suk Weon
    • Journal of Plant Biotechnology
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    • v.45 no.3
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    • pp.250-256
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    • 2018
  • To determine whether metabolite fingerprinting for whole cell extracts based on Fourier transform infrared spectroscopy (FT-IR) can be used to discriminate and compare metabolic equivalence, standard medicinal parts of Cynanchum wilfordii (Maxim.) Hemsl. and their adventitious roots were subjected to FT-IR. The principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) from FT-IR spectral data showed that whole metabolic pattern from the adventitious root of Cynanchum wilfordii was highly similar to its standard medicinal parts. These results clearly showed that mass proliferation of adventitious roots could be applied for the novel supply of standard medicinal parts of medicinal plants. Furthermore, FT-IR spectroscopy combined with multivariate analysis established in this study could be applied as an alternative tool for discriminating of whole metabolic equivalence from standard medicinal parts. Thus, it is proposed that these metabolic discrimination systems from the adventitious root of Cynanchum wilfordii could be applied for metabolic standardization of in vitro grown Cynanchum wilfordii.