Fault Classification in Diesel Engines Based on Time-Domain Responses through Signal Processing and Convolutional Neural Network

In today’s interconnected industrial landscape, the ability to predict and monitor the operational status of equipment is crucial for maintaining efficiency and safety. Diesel engines, which are integral to numerous industrial applications, require reliable fault detection mechanisms to reduce opera...

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Autores principales:	Gabriel Hasmann Freire Moraes, Ronny Francis Ribeiro Junior, Guilherme Ferreira Gomes
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-09-01
Colección:	Vibration
Materias:	fault detection STFT wavelet convolutional neural network diesel engines
Acceso en línea:	https://www.mdpi.com/2571-631X/7/4/46
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