Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)

Applied Energy

Volumn 112, Issue , 2013, Pages 1041-1048

  Zhao, Yang ^a   Wang, Shengwei ^a   Xiao, Fu ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Centrifugal chiller; Fault detection; PCA; SVDD

Indexed keywords

COOLING SYSTEMS; DATA DESCRIPTION; FAULT DETECTION; INTELLIGENT BUILDINGS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

CENTRIFUGAL CHILLERS; HIGH-DIMENSIONAL FEATURE SPACE; ONE-CLASS CLASSIFICATION; ONE-CLASS CLASSIFICATION ALGORITHM; PCA; PRINCIPLE COMPONENT ANALYSIS; SUPPORT VECTOR DATA DESCRIPTION; SVDD;

INFORMATION MANAGEMENT;

ACCURACY ASSESSMENT; ALGORITHM; CENTRIFUGAL MODEL TEST; GAUSSIAN METHOD; MODEL VALIDATION; NONLINEARITY; PRINCIPAL COMPONENT ANALYSIS;

EID: 84884206291     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.12.043     Document Type: Article

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