船电技术2026，Vol.46Issue(6)：51-55,5.
船舶电气系统智能监测及其对故障诊断的影响
Intelligent monitoring in marine electrical system and its impact on fault diagnosis
王元媛 1文翔 1郭林松1
作者信息
- 1. 武汉船用电力推进装置研究所,武汉 430064
- 折叠
摘要
Abstract
With the increasing complexity of marine electrical systems,traditional fault diagnosis methods have become inadequate to meet the requirements of safe operations.Intelligent monitoring technology achieves real-time perception and intelligent analysis of marine electrical systems through the construction of multi-level sensor networks,the introduction of deep learning algorithms,and multi-source data fusion mechanisms.Experimental validation demonstrates that fault feature extraction technology based on CNN and LSTM achieves a diagnostic accuracy of 94.7%,representing an improvement of 23.5 percentage points over traditional methods.The multi-modal data fusion algorithm advances fault warning time to 15-20 minutes,preventing 62%of sudden failures.Intelligent monitoring technology significantly reduces fault localization time and decreases false alarm rates,with system reliability improving from 0.923 to 0.984.关键词
船舶电气系统/智能监测/故障诊断/深度学习/数据融合/预测性维护Key words
marine electrical system/intelligent monitoring/fault diagnosis/deep learning/data fusion/predictive maintenance分类
交通工程引用本文复制引用
王元媛,文翔,郭林松..船舶电气系统智能监测及其对故障诊断的影响[J].船电技术,2026,46(6):51-55,5.
