Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data

International Journal of Systems Science

Volumn 45, Issue 7, 2014, Pages 1375-1382

  Yin, Shen ^a   Wang, Guang ^a   Yang, Xu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Data driven; Diagnosis; Key performance indicator; KPI; Missing value; Outlier; Partial least squares; PLS; Prediction; Robust

Indexed keywords

AUTOCORRELATION; DIAGNOSIS; FORECASTING; INDUSTRIAL APPLICATIONS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; STATISTICS;

DATA-DRIVEN; KEY PERFORMANCE INDICATORS; KPI; MISSING VALUES; OUTLIER; PARTIAL LEAST SQUARE (PLS); PLS; ROBUST;

BENCHMARKING;

EID: 84902536552     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2014.886136     Document Type: Article

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