Fault Diagnosis of Rotating Machinery: A Highly Efficient and Lightweight Framework Based on a Temporal Convolutional Network and Broad Learning System

Efficient fault diagnosis of rotating machinery is essential for the safe operation of equipment in the manufacturing industry. In this study, a robust and lightweight framework consisting of two lightweight temporal convolutional network (LTCN) backbones and a broad learning system with incremental...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Hao Wei, Qinghua Zhang, Yu Gu
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	broad learning system fault diagnosis temporal convolutional network rotating machinery
Online Access:	https://www.mdpi.com/1424-8220/23/12/5642