Application of latent variable methods to process control and multivariate statistical process control in industry

Kourti, Theodora

doi:10.1002/acs.859

Cited by 301 publications

(236 citation statements)

References 67 publications

(124 reference statements)

Supporting

Mentioning

224

Contrasting

Unclassified

Order By: Relevance

“…Em função da comprovação da não normalidade dos dados, o desvio padrão não é uma medida confiável para análise da variabilidade dos dados (SONG et al, 2002). Isto neutraliza o poder dos gráficos de controle (KOURTI, 2005) e dos índices cp e cpk.…”

Section: Os Testes De Normalidade Do Espaçamento De Sementes Em Pistaunclassified

Avaliação da distribuição de sementes por uma semeadora de anel interno rotativo utilizando média móvel exponencial

Albiero¹,

Maciel²,

Milan³

et al. 2012

Rev. Ciênc. Agron.

View full text Add to dashboard Cite

Resumo -Conceitos de qualidade cada vez mais se tornam essenciais para a sobrevivência da empresa agrícola, pois a importância do aprimoramento das operações agrícolas se faz necessária para a obtenção de resultados viáveis economicamente, ambientamente e socialmente. Uma das dimensões da qualidade é conseguir de conformidade, ou seja, a garantia de execução exata do que foi planejado para atender aos requisitos dos clientes em relação a um determinado produto ou serviço. Os objetivos deste trabalho são avaliar a distribuição longitudinal entre sementes de uma semeadora de anel interno rotativo, e propor a utilização da metodologia estatística da Média Móvel Exponencialmente Ponderada (MMEP) como alternativa para o controle de qualidade da semeadura, quando não há normalidade da distribuição dos dados. Os resultados demonstraram que a MMEP é adequada para a avaliação da qualidade da distribuição longitudinal de sementes, pois concordou com os dados apresentados na estatística descritiva, o que lhe credencia para avaliação de distribuições não normais. Palavras-chave -Uniformidade de distribuição. Controle de Qualidade. Média móvel.Abstract -Quality concepts are essentials for survivor of agricultural companies, therefore, the importancy of improvement of agricultural process is necessary for to get results economically, environmentally and socially viables. One quality dimension is to get a compliance quality, ie, ensure the exact execution than was planned. The subject of this paper is evaluable at longitudinal distribution between seed of a internal ring seeder. The subject of this paper is to evaluate at longitudinal distribution between seed distributed for a internal ring seeder and to propose the use of statistical methodology exponentially weighted moving average (MMEP) like alternative for the quality control of seeders, when there is not normality in data. The results showed that the MMEP is adequate for quality evaluation of longitudinal distribution between seeds, as agreed with the data of descriptive statistic.

show abstract

Section: Os Testes De Normalidade Do Espaçamento De Sementes Em Pistaunclassified

Avaliação da distribuição de sementes por uma semeadora de anel interno rotativo utilizando média móvel exponencial

Albiero¹,

Maciel²,

Milan³

et al. 2012

Rev. Ciênc. Agron.

View full text Add to dashboard Cite

show abstract

“…LPLS can be used for data classification, data mining, and image processing [25]. For example, input weight w and output weight c can be used to find the contributions of different variables to each score while input score vector t and output score vector u can be used to detect outliers.…”

Section: Methodsmentioning

confidence: 99%

A nonlinear partial least squares algorithm using quadratic fuzzy inference system

Abdel-Rahman

Lim

2009

Journal of Chemometrics

View full text Add to dashboard Cite

We introduce a new nonlinear partial least squares algorithm 'Quadratic Fuzzy PLS (QFPLS)' that combines the outer linear Partial Least Squares (PLS) framework and the Takagi-Sugeno-Kang (TSK) fuzzy inference system. The inner relation between the input and the output PLS score vectors is modeled by a quadratic TSK fuzzy inference system. The performance of the proposed QFPLS method is tested and compared against four other well-known partial least squares methods (Linear PLS (LPLS), Quadratic PLS (QPLS), Linear Fuzzy PLS (LFPLS), and Neural Network PLS (NNPLS)) on various different types of randomly generated test data. QFPLS outperformed competitors based on two comparison measures: the output variables cumulative per cent variance captured by the PLS latent variables and the root mean-square error of prediction (RMSEP).

show abstract

“…After the PC spaces were established with 30 DEEJ samples randomly selected for the fingerprint analysis, Hotelling T 2 and DModX were used to evaluate quality consistency and fast recognition of abnormal samples (Setarehdan et al, 2002;Kourti, 2005;Chiang and Colegrove, 2007). Fig.…”

Section: Evaluation By Hotelling T 2 and Dmodxmentioning

confidence: 99%

Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics

Han

Zhang³

et al. 2016

J. Zhejiang Univ. Sci. B

View full text Add to dashboard Cite

Abstract:We have developed a set of chemometric methods to address two critical issues in quality control of a precious traditional Chinese medicine (TCM), Dong'e Ejiao (DEEJ). Based on near infrared (NIR) spectra of multiple samples, the genuine manufacturer of DEEJ, e.g. Dong'e Ejiao Co., Ltd., was accurately identified among 21 suppliers by the fingerprint method using Hotelling T 2 , distance to Model X (DModX), and similarity match value (SMV) as discriminate criteria. Soft independent modeling of the class analogy algorithm led to a misjudgment ratio of 6.2%, suggesting that the fingerprint method is more suitable for manufacturer identification. For another important feature related to clinical efficacy of DEEJ, storage time, the partial least squares-discriminant analysis (PLS-DA) method was applied with a satisfactory misjudgment ratio (15.6%) and individual prediction error around 1 year. Our results demonstrate that NIR spectra comprehensively reflect the essential quality information of DEEJ, and with the aid of proper chemometric algorithms, it is able to identify genuine manufacturer and determine accurate storage time. The overall results indicate the promising potential of NIR spectroscopy as an effective quality control tool for DEEJ and other precious TCM products.

show abstract

Application of latent variable methods to process control and multivariate statistical process control in industry

Cited by 301 publications

References 67 publications

Avaliação da distribuição de sementes por uma semeadora de anel interno rotativo utilizando média móvel exponencial

Avaliação da distribuição de sementes por uma semeadora de anel interno rotativo utilizando média móvel exponencial

A nonlinear partial least squares algorithm using quadratic fuzzy inference system

Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics

Contact Info

Product

Resources

About