通过数据库管理的空间(DMS)和原始设备，我们可以减少磁盘资源的故障转移时间，因为在故障转移时将不会进行磁盘检查。
With database managed space (DMS) and raw device, we can decrease the time to fail over the disk resources, because there will be no checking of disks during failover.
如果数据库很大，那原始设备的使用也能减少故障转移时间，因为进行故障转移时，操作系统不必对文件系统进行文件检查(fsck)。
Raw device usage also improves failover time in case the database is large, because during failover the operating system does not have to do a file check to the file system (FSCK).
根据变电设备自身特性与故障诊断特点，重点讨论了专家系统的数据库和知识库设计。
According to the characteristic of equipment and fault diagnosis, both database and knowledge base are discussed emphatically.
上述的各种方法都要基于完整的设备参数和特征参数的数据才能实现对数控机床主轴箱的故障诊断，所以一个全面完备的故障诊断数据库是必不可少的。
The basis of methods above is integrated data of equipment parameter and character, so a self-contained and complete database of fault diagnosis is mostly necessary.
实时数据库及时准确地从现场获取数据并有效地组织和管理，是水电厂设备故障诊断系统进行故障诊断的首要条件。
The primary condition for the fault diagnosis expert system of hydropower plants is the real time acquisition of data and efficient organization and management by the real time database.
通过一个未完成的故障诊断实例，说明建立设备参数数据库对于设备状态监测与故障诊断的重要性。
To prove that the establishing plant parameter database is important to device condition monitor and fault diagnosis, through an example of fault diagnosis which has not completed.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
应用推荐