An improved wrapper-based feature selection method for machinery fault diagnosis

Author:

Hui Kar HoouORCID,Ooi Ching Sheng,Lim Meng Hee,Leong Mohd Salman,Al-Obaidi Salah Mahdi

Funder

Higher Institution Centre of Excellence

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference33 articles.

1. A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection;Y Li;Mech Syst Signal Process,2017

2. A novel wrapper method for feature selection and its applications;G Chen;Neurocomputing,2015

3. Multi-label Feature Selection with Missing Labels;P Zhu;Pattern Recognit,2017

4. Subspace clustering guided unsupervised feature selection;P Zhu;Pattern Recognit,2017

5. Zhu P, Hu Q, Zhang C, Zuo W. Coupled Dictionary Learning for Unsupervised Feature Selection. Proc 30th Conf Artif Intell (AAAI 2016). 2016; 2422–2428.

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