Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals.

Ahmed, Hosameldin O A; Nandi, Asoke K

Ahmed, Hosameldin O A; Nandi, Asoke K.

Afiliação

Ahmed HOA; Department of Mechanical and Aerospace Engineering, Brunel University London, London UB8 3PH, UK.
Nandi AK; Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK.

Entropy (Basel) ; 24(4)2022 Apr 05.

Article em En | MEDLINE | ID: mdl-35455173

Palavras-chave

compressive sampling (CS); feature selection; multinomial logistic regression (MLR); rolling bearing fault diagnosis; vibration-based condition monitoring

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article