Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine


Autoria(s): Choi, B K; Gu, Dong-Sik; Kim, Eric; Mathew, Joseph; Son, Jong-Duk; Tan, Andy; Widodo, Achmad; Yang, Bo-Suk
Data(s)

2008

Identificador

http://eprints.qut.edu.au/30830/

Publicador

Pergamon

Relação

DOI:10.1016/j.eswa.2008.09.033

Choi, B K, Gu, Dong-Sik, Kim, Eric, Mathew, Joseph, Son, Jong-Duk, Tan, Andy, Widodo, Achmad, & Yang, Bo-Suk (2008) Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Systems with Applications, 36(3), pp. 7252-7261.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #080108 Neural Evolutionary and Fuzzy Computation #090609 Signal Processing #Fault diagnosis, low speed bearing, multi-class relevance vector machine, support vector machine, acoustic emission signal, vibration signal
Tipo

Journal Article