RESEARCH PAPER
Real-Time Fault Monitoring Method for Logistics Vehicles Based on Chaotic Ant Colony Algorithm
1
Hebei Professional College of Politics Science and Law, China
2
Shijiazhuang Institute of Railway Technology, China
Submission date: 2024-11-22
Final revision date: 2025-01-08
Acceptance date: 2025-03-26
Online publication date: 2025-04-02
Publication date: 2025-04-02
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(4):203395
HIGHLIGHTS
- This study proposes a real-time fault monitoring method for logistics vehicles.
- The fault signal was identified on the basis of building logistics vehicle fault tree.
- The theory of support vector machines was employed to derive low-dimensional features.
KEYWORDS
LogisticSupport vector machineLogistics vehiclesVehicle fault monitoringAnt colony Chaotic algorithmPheromone concentration
TOPICS
ABSTRACT
Abstract: To improve the safety of logistics vehicle transportation, this study proposes a real-time fault monitoring method for logistics
vehicles based on chaotic ant colony algorithm. Firstly, take a typical engine malfunction as an example. Identify fault signals based on
logistics vehicle fault tree. Then, use support vector machine theory to extract time-domain low dimensional features from vehicle fault information. Finally, real-time fault monitoring of logistics vehicles is achieved based on chaotic ant colony optimization algorithm. The experiment shows that the monitoring accuracy of this method is always above 94.0%, and the monitoring signal transmission delay varies between 444ms - 627ms, indicating that this method has high monitoring accuracy and efficiency, and has high application value.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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