On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring

Since decades past, time–frequency (TF) analysis has demonstrated its capability to efficiently handle non-stationary multi-component signals which are ubiquitous in a large number of applications. TF analysis us allows to estimate physics-related meaningful parameters (e.g., <inline-formula><math d...

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Principais autores:	Sarra Houidi, Dominique Fourer, François Auger
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-08-01
Colecção:	Entropy
Assuntos:	non-intrusive load monitoring (NILM) time–frequency representation (TFR) deep learning convolutional neural network (CNN) synchrosqueezing Layer wise relevance propagation (LRP)
Acesso em linha:	https://www.mdpi.com/1099-4300/22/9/911
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