Bearing Fault Diagnosis Based on Small Sample Learning of Maml–Triplet

Bearing Fault Diagnosis Based on Small Sample Learning of Maml–Triplet

Since the emergence of artificial intelligence and deep learning methods, the fault diagnosis of bearings in rotating machinery has gradually been realized, reducing the high costs of bearing faults. However, in the actual work of the equipment, faults rarely occur, resulting in less fault data. The...

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Bibliographic Details
Main Authors: Qiang Cheng, Zhaoheng He, Tao Zhang, Ying Li, Zhifeng Liu, Ziling Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Maml–Triplet learning
bearing
small sample
fault diagnosis
few shot
Online Access:https://www.mdpi.com/2076-3417/12/21/10723

Internet

https://www.mdpi.com/2076-3417/12/21/10723

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