Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.

Wan, Qingzhu; Li, Yimeng; Yuan, Runjiao; Meng, Qinghai; Li, Xiaoxue

Wan, Qingzhu; Li, Yimeng; Yuan, Runjiao; Meng, Qinghai; Li, Xiaoxue.

Afiliación

Wan Q; School of Electric and Control Engineering, North China University of Technology, Beijing100144, China.
Li Y; School of Electric and Control Engineering, North China University of Technology, Beijing100144, China.
Yuan R; School of Electric and Control Engineering, North China University of Technology, Beijing100144, China.
Meng Q; School of Electric and Control Engineering, North China University of Technology, Beijing100144, China.
Li X; Key Account Division, Beijing Aerospace Data Stock Company National Big-Data Application Technology, Beijing100044, China.

Sensors (Basel) ; 23(2)2023 Jan 06.

Article en En | MEDLINE | ID: mdl-36679479

Asunto(s)

Redes Neurales de la Computación; Reconocimiento en Psicología; Impedancia Eléctrica; Simulación por Computador

Palabras clave

cable fault location; deep belief network; fault type identification; headend input impedance spectrum; timefrequency domain

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Reconocimiento en Psicología Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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