Implementation of a New Hybrid Methodology for Fault Signal Classification Using Short-Time Fourier Transform and Support Vector Machines

Advances in Intelligent and Soft Computing

Volumn 73 AISC, Issue , 2010, Pages 219-255

  Banerjee, Tribeni Prasad ^a   Das, Swagatam ^b   Roychoudhury, Joydeb ^a   Abraham, Ajith ^c  

^a CSIR CENTRAL MECHANICAL ENGINEERING RESEARCH INSTITUTE   (India)

^b JADAVPUR UNIVERSITY   (India)

^c SCIENTIFIC NETWORK FOR INNOVATION AND RESEARCH EXCELLENCE   (United States)

Author keywords

Brash less Direct Current Motor; embedded system; Fault Classifier; fault diagnosis; Intelligent interactive control; Mechatronics; Real time system; signal classification; Sort Time Fourier Transform; supervisory control; Support Vector Machine

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; AEROSPACE APPLICATIONS; BRUSHLESS DC MOTORS; CONTROLLERS; FAILURE ANALYSIS; FAULT DETECTION; INDUCTION MOTORS; INTERACTIVE COMPUTER SYSTEMS; REAL TIME SYSTEMS;

BRASH LESS DIRECT CURRENT MOTORS; EMBEDDED-SYSTEM; FAULT CLASSIFIER; FAULTS DIAGNOSIS; INTELLIGENT INTERACTIVE CONTROL; INTERACTIVE CONTROL; REAL - TIME SYSTEM; SIGNAL CLASSIFICATION; SORT TIME FOURIER TRANSFORM; SUPERVISORY CONTROL; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 80052936600     PISSN: 18675662     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-642-13161-5_28     Document Type: Conference Paper

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