Health Prognosis for Equipment Based on ACO-K-Means and MCS-SVM under Small Sample Noise Unbalanced Data
For the problem of manufacturing system residual life prognosis with insufficient small sample data and unbalanced distribution, this paper proposes a model for equipment health status analysis and life prognosis based on improved ant colony optimization K-Means (ACO-K-Means) and multi-classificatio...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2024-01-01
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Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/451975 |