摘要
在船舶电站故障诊断过程中应用数据融合技术,在数据处理的信号层、特征层及决策层上分别提出不同的数据融合算法,解决了传统故障诊断中存在的大量采集数据如何有效处理的问题。所提出的算法针对船舶电站故障诊断的特殊性,有较强的适应性,提高了实际诊断的准确性和可靠性。
By the application of the theory and method of data fusion to the whole process of ship power station＇s fault diagnosis,three different data fusion algorithms were put forward for different layers,namely,the signal layer,character layer,and decision-making layer of data processing.Thus,the collected data would be processed more efficiently.The proposed algorithms aimed at the particularity of the fault diagnosis,had a good adaptability and improved the accuracy and reliability of diagnosis.
出处
《电源技术》
CAS
CSCD
北大核心
2010年第12期1302-1305,共4页
Chinese Journal of Power Sources
