Study on Immune Relevant Vector Machine Based Intelligent Fault Detection and Diagnosis Algorithm
An immune relevant vector machine (IRVM) based intelligent classification method is proposed by combining the random real-valued negative selection (RRNS) algorithm and the relevant vector machine (RVM) algorithm. The method proposed is aimed to handle the training problem of missing or incomplete f...
Main Authors: | Zhong-hua Miao, Guang-xing Zhou, Xiao-hua Wang, Chuang-xin He |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2013-01-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1155/2013/548248 |
Similar Items
-
Transformer fault diagnosis based on chemical reaction optimization algorithm and relevance vector machine
by: Luo Wei, et al.
Published: (2017-01-01) -
Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO
by: Sheng-wei Fei, et al.
Published: (2015-01-01) -
Fault Diagnosis of Plunger Pump in Truck Crane Based on Relevance Vector Machine with Particle Swarm Optimization Algorithm
by: Wenliao Du, et al.
Published: (2013-01-01) -
Modeling Analysis of Power Transformer Fault Diagnosis Based on Improved Relevance Vector Machine
by: Lutao Liu, et al.
Published: (2013-01-01) -
Fault diagnosis of bearing based on relevance vector machine classifier with improved binary bat algorithm for feature selection and parameter optimization
by: Sheng-wei Fei
Published: (2017-01-01)