Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

In the manufacturing process, equipment failure is directly related to productivity, so predictive maintenance plays a very important role. Industrial parks are distributed, and data heterogeneity exists among heterogeneous equipment, which makes predictive maintenance of equipment challenging. In t...

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Bibliographic Details
Main Authors:	Jisu Ahn, Younjeong Lee, Namji Kim, Chanho Park, Jongpil Jeong
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Sensors
Subjects:	federated learning anomaly detection time series LSTM data distribution
Online Access:	https://www.mdpi.com/1424-8220/23/17/7331

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