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Fault Diagnosis Method of Plunger Pump Based on Meta-Learning and Improved Multi-Channel Convolutional Neural Network Under Small Sample Condition

A fault diagnosis method based on meta-learning and an improved multi-channel convolutional neural network (MAML-MCCNN-ISENet) was proposed to solve the problems of insufficient feature extraction and low fault type identification accuracy of vibration signals at small sample sizes. The signal is fi...

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Hoofdauteurs: Xiwang Yang, Jiancheng Ma, Hongjun Hu, Jinying Huang, Licheng Jing
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2025-07-01
Reeks:Sensors
Onderwerpen:
fault diagnosis
plunger pump
small sample
meta-learning
Online toegang:https://www.mdpi.com/1424-8220/25/15/4587
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