A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling

A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling

The wear condition of a piston pin is a main factor in determining the operational continuity and life cycle of a diesel engine; identifying its vibration feature is of paramount importance in carrying out necessary maintenance in the early wear stage. As the dynamic vibration features are susceptib...

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Bibliographic Details
Main Authors: Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
piston pin wear
vibration feature extraction
dynamic principal component analysis (DPCA)
variational mode decomposition (VMD)
singular value decomposition (SVD)
Online Access:https://www.mdpi.com/2075-1702/13/1/68
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