摘要
介绍了基于信息融合的舰载柴油机故障诊断技术。融合柴油机热工、油液及振动3大类信息,采用自适应谐振理论(ART)和BP网络相结合的决策级融合技术,建立了融合诊断技术模型,结合实例说明了该模型的诊断原理,并验证了该诊断方法的有效性。结果表明:新型神经网络模型既可以解决并发故障诊断问题,也可以解决新的故障类型诊断问题。
A fault diagnosis technique based on information fusion was introduced.With decision-making level fusion technology integrating the auto-adapted resonant theory(ART)and the BP network,the fault diagnosis model of marine diesel engine was established by using three main fusion data of diesel engine,thermotechnical,oil monitoring and vibration analysis data.The diagnostic principle was explained by an example.The diagnostic result shows that the presented method is effective for the fault diagnosis of marine ...
出处
《润滑与密封》
CAS
CSCD
北大核心
2008年第1期133-137,共5页
Lubrication Engineering
关键词
柴油机
信息融合
神经网络
故障诊断
diesel engine
information fusion
neural network
fault diagnosis