Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration

Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration

Under laboratory conditions for recording a small amount of data, the characteristics of the phenomena distribution become a limitation of machine learning and advanced deep learning concepts for the diagnosis and localization of mechanical wear faults. In this paper, we adopt the combination of the...

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Bibliographic Details
Main Authors: Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
mechanical wear
diffusion model
test-time training
fault diagnosis algorithms
aero-engine
Online Access:https://www.mdpi.com/1424-8220/25/12/3745
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