Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis-Reference-Cited by-同舟云学术

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Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis

Published:2016-01 Issue: Volume:174 Page:331-343
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wong Pak Kin,Zhong Jianhua,Yang Zhixin,Vong Chi Man

Funder

University of Macau

Science and Technology Development Fund of Macau S.A.R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference37 articles.

1. A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns;Vong;IEEE Trans. Ind. Electron.,2013

2. Simultaneous-fault diagnosis of automotive engine ignition systems using prior domain knowledge and relevance vector machine;Vong;Math. Probl. Eng.,2013

3. Engine fault diagnosis based on multi-sensor information fusion using Dempster–Shafer evidence theory;Basir;Inf. Fusion,2007

4. Diagnosis of multiple sensor and actuator failures in automotive engines;Hsu;IEEE Trans. Veh. Technol.,1995

5. Novel classifier fusion approahces for fault diagnosis in automotive systems;Choi;IEEE Trans. Instrum. Meas.,2007

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