Fault diagnosis and forecast 故障诊断及预测
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods.
基于粗糙集数据挖掘理论的汽轮机故障预测和诊断,提出了一种新的方法,旨在克服现有的一些实现方法的知识短缺。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aiming at overcoming shortages of some current knowledge attaining methods.
针对当前专家系统知识获取瓶颈的难题,提出了基于粗糙集数据挖掘的汽轮机故障预报及诊断方法。
The condition monitoring and fault diagnosis were carried out on Marine main diesel engine to forecast the faults which may occur and where they should occur.
开展状态监测和故障诊断,预报船舶主机可能发生的故障和故障的部位,对可靠性要求特别高的船用柴油机具有特别重要的意义。
应用推荐