机械类专业英语翻译

可编辑word文档 Flexible and Smart Online Monitoring and Fault Diagnosis

System for Rotating Machinery

柔性的和智能的在线监测与故障诊断的旋转机械系统

Abstract

Monitoring the vibration signals of rotating machinery, ulteriorly,

assessing the safety of equipment plays a significant role in ensuring the

security of equipment and in saving maintenance fee. This paper

integrated the idea of “configuration” in the industry control software,

developed the “flexible” network-based online monitoring and fault

diagnosis system. The network topology, configuration module, database,

data acquisition workstation and monitoring components were presented.

With the smart data acquisition strategy and strong adaptive monitoring

tools, the system can be applied on kinds of rotating machinery, and the

practical application of the system was introduced.

Keywords – online monitor, flexible system, smart system,

configuration, rotating machinery

旋转机械振动信号的监测，进一步地说，在确保设备的安全性和节省维修费用上设备安全性的评估起到非常重要的角色。本文整合了工业控制软件中的“配置”理念，开发出“柔性的”基于网络的在线监测和故障诊断的系统。该网络的拓扑结构、配置模块、数据库、数据采集工作站和监视组件已得到介绍。随着智能数据采集策略和强大的适应监测工具的开发应用，该系统可以应用于各种旋转机械，而且该系可编辑word文档 统的实际应用也以得到介绍。

关键词：在线监测，柔性系统，智能系统，结构配置，旋转机械

CONCLUSION

Based on the development trend of the network-based online monitoring

and diagnosis system, this paper introduced the idea of “flexible” of ICS

and the smart data acquisition strategy, developed the configurable and

smart online monitor and diagnosis system with strong flexibility. The

system can be applied on kinds of rotating machinery. The smart signal

analysis tools can provide the appropriate diagnosis method kinds of

equipment, hence can level up the accuracy of fault diagnosis and

condition evaluation.

基于以网络为基础的在线监测和故障诊断系统的发展趋势，本文介绍了因特网连接共享和智能的数据采集策略“柔性”的思想，开发出具有很强的灵活性的结构配置和智能的在线监测与诊断系统。该系统可以用于各种旋转机械。智能信号分析工具能为各种设备提供适当的诊断方法，因此能够提高故障诊断和工况评估的准确性。

I. INTRODUCTION

引言

With the development of the modern technology, a variety of rotating

machinery (such as steam turbine, fan,wind turbine, etc.) raises the level

of automatic operation.Due to the significant roles of the rotating 可编辑word文档 machinery in the modern production process, to ensure the safety,

reliability,economical and optimized operation, and to evaluation of the

condition of the current equipment have become very important research

fields. Thereinto, condition monitoring and fault diagnosis have been put

more attention [1].

随着现代科技的发展，各种各样的旋转机械（如蒸汽机，风扇，风力发电机组等等）提升了自动控制的层次。由于旋转机械在现代生产过程中的重要作用，以确保安全性，可靠性，经济性和优化操作，并评价当前设备的状态已成为非常重要的研究领域。其中，状态监测和故障诊断已投入更多的关注。

The database technology and network technology were introduced in the

current online monitor and fault diagnosis system for rotating machinery.

It not only enhanced the technology of online condition monitor and

provided more sufficient and reliable data for the fault diagnosis, but also

made it possible to share the machinery information,ulteriorly to establish

the fault analysis and diagnosis center in the special institute and provide

the remote technique support for factory [2, 3, 4].

数据库技术和网络技术已经在旋转机械当前的在线监测和故障诊断系统中介绍过，它不仅提高了在线状态监测技术和为故障诊断提供更充分更可靠的数据，而且使得机械信息共享成为可能，进而在专门研究机构建立故障分析和诊断中心，为制造厂提供远程技术支持。

However, for the requirements of equipment management nowadays, the 可编辑word文档 current network-based online monitoring system remains some defects as

follows: (a) the measure point (MP), the interfaces of the software and

the hardware had been fixed before developing of the monitoring system,

therefore it was difficult to adapt the modern plant with numerous and

various equipment; (b) the object of the current system was always the

machinery or equipment, and it was difficult to achieve the goal of

centralized management to the modern plant; (c) the data acquisition

strategy was simple and cannot be changed with the change of the

equipment state, and it was easily lead to the miss of the critical fault data

and effected the accuracy of the fault diagnosis; (d) the tools and methods

for signal analysis and fault diagnosis were simple and could not meet

the demand of information fusion[5, 6].

然而，对于当前的设备管理要求，目前的这种基于网络在线监测系统仍然存在一些缺陷，如下：（a)测量点（MP),在监测系统研发之前，系统的软件和硬件的接口已经被固定了，因此该系统很难适应现代工厂众多和各种各样的设备；（b)当前系统的对象仍然是机械装置或者设备，现代工厂很难实现集中管理的目标；（c)数据采集策略很简单，也不能随着设备状态的变化而变化，而且很容易导致决定性错误数据的缺失和影响故障诊断的准确性；（d)信号分析和故障诊断的工具和方法简单而且不能满足信息融合的需求。

Therefore, developing the system efficiently and reliably become a key

problem in the development of modern monitoring system. The