Fault detection and diagnosis of railway point machines by sound analysis

Sensors (Switzerland)

Volumn 16, Issue 4, 2016, Pages

  Lee, Jonguk ^a   Choi, Heesu ^a   Park, Daihee ^a   Chung, Yongwha ^a   Kim, Hee Young ^a   Yoon, Sukhan ^b  

^a Korea University   (South Korea)

^b Korea Nuclear Fuel Co Ltd   (South Korea)

Author keywords

Audio data; Railway condition monitoring system; Railway point machine; Support vector machine

Indexed keywords

AUDIO SYSTEMS; CONDITION MONITORING; COST EFFECTIVENESS; DATA MINING; MONITORING; RAILROAD TRANSPORTATION; RAILROADS; RAILS; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; TRANSPORTATION;

AUDIO DATA; CONDITION MONITORING SYSTEMS; DETECTION AND DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS; MEL FREQUENCY CEPSTRUM COEFFICIENT (MFCCS); RAIL INFRASTRUCTURE; RAILWAY POINTS; SUPPORT VECTOR MACHINE (SVMS);

FAULT DETECTION;

EID: 84963775007     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16040549     Document Type: Article

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