Modeling and Control of an Integrated Power Electronics Interface for Plug-in Hybrid Electric Vehicles

A novel multi-source heterogeneous data common-individual feature extraction and fusion framework for fault diagnosis in industrial processes

2026-04-11

0

PRE

AI

马

马亮 (Liang Ma) *

Q

Qikai Yang

K

Kaixiang Peng

DOI：10.1016/j.jprocont.2026.103730

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Abstract

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• A transformer based global–local feature extraction method is proposed. • An autoencoder based common-individual feature extraction and fusion method is proposed. • A new feature differentiation loss function is designed.

Keywords:

Transformer

Autoencoder

Feature extraction

Fault diagnosis

Feature fusion

A novel multi-source heterogeneous data common-individual feature extraction and fusion framework for fault diagnosis in industrial processes

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