Fault diagnosis methods for centrifugal pump based on autoregressive and continuous hidden Markov model

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 28, Issue 20, 2008, Pages 88-93

  Zhou, Yun Long ^a   Liu, Chang Xin ^a   Zhao, Peng ^b   Sun, Bin ^a   Hong, Wen Peng ^a  

^a NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Autoregressive spectrum; Centrifugal pump; Continuous hidden Markov model; Fault diagnosis

Indexed keywords

ARGON; CENTRIFUGAL PUMPS; ELECTRIC FAULT CURRENTS; HIDDEN MARKOV MODELS; HYDRAULIC MACHINERY; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; PARAMETER ESTIMATION; PUMPING PLANTS; PUMPS; ROTARY PUMPS; SENSOR NETWORKS; VECTORS; VITERBI ALGORITHM;

AUTO-REGRESSIVE; AUTOREGRESSIVE SPECTRUM; BAUM-WELCH ALGORITHM; CENTRIFUGAL PUMP; CONTINUOUS HIDDEN MARKOV MODEL; EXPERIMENTAL DATA; EXPERIMENTAL SYSTEMS; FAULT CLASSIFICATION; FAULT DIAGNOSIS; FEATURE VECTORS; K-MEANS ALGORITHMS; LOG-LIKELIHOOD; SPECTRUM PARAMETERS; SPEECH SIGNALS; UNDER FLOW; VIBRATION SIGNALS; VITERBI;

PLASMA DIAGNOSTICS;

EID: 48549104854     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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