Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field

IEEE Transactions on Industrial Informatics

Volumn 12, Issue 3, 2016, Pages 933-940

  Tang, Peng ^a   Chow, Tommy W S ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fault diagnosis; neighborhood hidden conditional random fields (NHCRFs); wireless sensor networks (WSNs)

Indexed keywords

COMPUTER AIDED DIAGNOSIS; FAILURE ANALYSIS; FAULT DETECTION; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; MARKOV PROCESSES; RANDOM PROCESSES;

ANTI-NOISE ABILITY; CLASSIFICATION PERFORMANCE; FAULT DIAGNOSIS PROBLEM; HIDDEN CONDITIONAL RANDOM FIELDS; INDEPENDENCE ASSUMPTION; PATTERN CLASSIFICATION PROBLEMS; POSTERIOR PROBABILITY; WIRELESS SENSOR NETWORK (WSNS);

WIRELESS SENSOR NETWORKS;

EID: 84976287116     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2016.2537758     Document Type: Article

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