A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures.

Wang, Shuguang; Lu, Minyan; Kong, Shiyi; Ai, Jun

Wang, Shuguang; Lu, Minyan; Kong, Shiyi; Ai, Jun.

Afiliação

Wang S; School of Reliability and Systems Engineering, Beihang University, Beijing 100089, China.
Lu M; School of Reliability and Systems Engineering, Beihang University, Beijing 100089, China.
Kong S; School of Reliability and Systems Engineering, Beihang University, Beijing 100089, China.
Ai J; School of Reliability and Systems Engineering, Beihang University, Beijing 100089, China.

Entropy (Basel) ; 22(11)2020 Oct 27.

Article em En | MEDLINE | ID: mdl-33286993

Palavras-chave

anomaly detection; failure prediction; machine learning; software aging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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