摘要
针对机械系统信号的不确定性,提出了一种以贝叶斯网络为依据建立故障预测模型的方法,将该方法应用于机械系统的故障预测,针对不同的故障样本进行实验研究,结果表明该方法具有较高的预测精度,为复杂系统的故障预测提供了新途径。
Based on the signal of mechanical system has the characteristics of uncertainty,we propose a Bayesian network-based fault prediction model established methods.The method is applied in mechanical system failure prediction,experimental studies for different fault samples,the results show that this method has higher prediction accuracy,provides a new theoretical approach to failure prediction of complex systems.
出处
《中国煤炭》
北大核心
2014年第11期59-61,71,共4页
China Coal
基金
河北省自然科学基金(E2012402027)
关键词
不确定性
贝叶斯网络
故障预测
机械系统
uncertainty
Bayesian network
fault prognosis
mechanical system
