Generating feature sets for fault diagnosis using denoising stacked auto-encoder

2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

Volumn , Issue , 2016, Pages

  Thirukovalluru, Raghuveer ^a   Dixit, Sonal ^a   Sevakula, Rahul K ^a   Verma, Nishchal K ^a   Salour, Al ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b BOEING COMPANY   (United States)

Author keywords

deep learning; fault diagnosis; features analysis; stacked auto encoders

Indexed keywords

DECISION TREES; FAILURE ANALYSIS; FAST FOURIER TRANSFORMS; FAULT DETECTION; LEARNING SYSTEMS; SPEECH PROCESSING; SYSTEMS ENGINEERING;

AUTO ENCODERS; CLASSIFICATION PERFORMANCE; DEEP LEARNING; ENERGY DISTRIBUTION ANALYSIS; FEATURE REPRESENTATION; FEATURES ANALYSIS; INTELLIGENT DIAGNOSTIC SYSTEMS; PROCESSING APPLICATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 84985998651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2016.7542865     Document Type: Conference Paper

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