Hybrid Method with Parallel-Factor Theory, a Support Vector Machine, and Particle Filter Optimization for Intelligent Machinery Failure Identification

Hybrid Method with Parallel-Factor Theory, a Support Vector Machine, and Particle Filter Optimization for Intelligent Machinery Failure Identification

Here, a novel hybrid method of intelligent fault identification within complex mechanical systems was proposed using parallel-factor (PARAFAC) theory and adaptive particle swarm optimization (APSO) for a support vector machine (SVM). The parallel-factor multi-scale analysis theory was studied to rec...

Full description

Bibliographic Details
Main Authors: Shaoyi Li, Hanxin Chen, Yongting Chen, Yunwei Xiong, Ziwei Song
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Machines
Subjects:
parallel factors
fault diagnosis
SVM
APSO
hybrid diagnosis model
Online Access:https://www.mdpi.com/2075-1702/11/8/837

Similar Items

Similar Items