Multi-Sensor Fault Diagnosis Based on Time Series in an Intelligent Mechanical System.

Xu, Zhuoran; Li, Qianmu; Qian, Linfang; Wang, Manyi

Xu, Zhuoran; Li, Qianmu; Qian, Linfang; Wang, Manyi.

Afiliación

Xu Z; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Li Q; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Qian L; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Wang M; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Sensors (Basel) ; 22(24)2022 Dec 17.

Article en En | MEDLINE | ID: mdl-36560342

Asunto(s)

Algoritmos; Industrias; Factores de Tiempo; Entropía; Inteligencia

Palabras clave

Autoformer; fault diagnosis; intelligent mechanical system; multi-sensor; time series; transfer entropy

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Industrias Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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