工程机械的状态监测与故障诊断技术
State Monitoring and Fault Diagnosis Technology of Construction Machinery
蒋秀英1
作者信息
- 1. 四川川交路桥有限责任公司,四川 德阳 618300
- 折叠
摘要
本文深入探讨了工程机械状态监测与故障诊断技术的最新发展.针对工程机械在运行过程中可能遇到的各种故障,提出一种基于数据驱动和机器学习的先进监测系统.该系统通过实时采集并分析工程机械传感器数据,利用深度学习模型进行故障诊断,提前发现并预防潜在故障.本文介绍了该系统的设计框架和关键技术,包括数据预处理、特征提取以及故障诊断模型的建立.
Abstract
This article delves into the latest developments in state monitoring and fault diagnosis technology for construction machinery.A data-driven and machine learning based advanced monitoring system is proposed to address various faults that construction machinery may encounter during operation.The system collects and ana-lyzes sensor data of construction machinery in real-time,uses deep learning models for fault diagnosis,and de-tects and prevents potential faults in advance.This article introduces the design framework and key technologies of the system,including data preprocessing,feature extraction,and the establishment of a fault diagnosis model.
关键词
工程机械/状态监测/故障诊断/数据驱动/机器学习/深度学习Key words
Construction machinery/Status monitoring/Fault diagnosis/Data driven/Machine learning/Deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据