船舶机舱消防泵系统的性能优化与故障诊断  

Performance Optimization and Fault Diagnosis of Ship Cabin Fire Pump System

作　　者：王进涛 贾金秋 WANG Jintao;JIA Jinqiu(Bostar Marine Technology(Qingdao)Co.,Ltd.,Qingdao 266520)

机构地区：[1]渤星船舶科技(青岛)有限公司,青岛266520 [2]武汉船用机械有限责任公司,武汉430080

出　　处：《现代制造技术与装备》2024年第11期117-119,共3页Modern Manufacturing Technology and Equipment

摘　　要：针对船舶机舱消防泵系统的性能优化和故障诊断进行深入研究,通过分析消防泵系统的工作原理和影响因素,提出一种基于数据驱动的性能优化方法,利用机器学习算法对消防泵的运行数据进行建模和预测,实现消防泵系统的性能优化。针对消防泵系统的常见故障,设计一种基于深度学习的故障诊断方法,通过对振动信号的特征提取和分类,实现消防泵系统的早期故障检测和诊断。仿真和实验结果表明,所提方法能够有效提高消防泵系统的性能,降低故障发生率,对于保障船舶的安全运行具有重要意义。Aiming at the performance optimization and fault diagnosis of ship cabin fire pump system,this paper analyzes the working principle and influencing factors of the fire pump system,proposes a data-driven performance optimization method,and uses machine learning algorithm to model and predict the operation data of the fire pump,so as to achieve the performance optimization of the fire pump system.Aiming at the common faults of the fire pump system,a fault diagnosis method based on deep learning is designed.Through the feature extraction and classification of vibration signals,early fault detection and diagnosis of the fire pump system are realized.Simulation and experimental results show that the proposed method can effectively improve the performance of the fire pump system and reduce the failure rate,which is of great significance for ensuring the safe operation of ships.

关 键 词：船舶机舱 消防泵系统 性能优化 故障诊断 机器学习 

分 类 号：U664.88[交通运输工程—船舶及航道工程] U672[交通运输工程—船舶与海洋工程]