Dempster-Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis

Mechanical Systems and Signal Processing

Volumn 23, Issue 3, 2009, Pages 740-751

  Niu, Gang ^a   Yang, Bo Suk ^a  

^a Pukyong National University   (South Korea)

Author keywords

Dempster Shafer regression; Machinery prognosis; Multi step ahead prediction; Performance evaluation; Time series reconstruction

Indexed keywords

CONDITION MONITORING; DATA FUSION; DEGRADATION; INDUSTRIAL APPLICATIONS; INDUSTRIAL PLANTS; MACHINERY; METHANE; PROCESS ENGINEERING; REGRESSION ANALYSIS; REPAIR; RESTORATION; SENSOR DATA FUSION;

AHEAD TIMES; APPLICATIONS.; C METHODS; DATA MONITORING; DEGRADATION TRENDS; DELAY TIMES; DEMPSTER-SHAFER REGRESSION; DESCRIPTORS; EFFECTIVE TOOLS; EMBEDDING DIMENSIONS; ERROR RATES; FALSE NEAREST NEIGHBORS; MULTI-STEP-AHEAD PREDICTION; PERFORMANCE EVALUATION; RAPID VARIATIONS; RECONSTRUCTION PARAMETERS; REGRESSION TECHNIQUES; TIME SERIES; TIME-SERIES RECONSTRUCTION;

FORECASTING;

EID: 58049168378     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2008.08.004     Document Type: Article

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