水泵状态监测及故障诊断系统

介绍水泵状态监测及邦联诊断系统的组成。此系统可多通道测取水泵振动信号,通过对状态报警阈值的合理设置及参考频谱的有效建立,能我台水泵的运行状态作出及时反映,并对异常状态下的故障部位、性质做出准确判断。     

船舶动力设备状态监测与故障诊断维修研究

随着国民经济的不断增长,科学技术的不断创新,我国船舶制造行业建设发展水平得到了质的飞跃。船舶动力设备稳定运行作为船舶安全航行过程的重中之重,是一项必不可缺的检修维护管理工作内容,直接关系到船舶长期安全稳定的运行使用。因此,有关部门必须加强对船舶动力设备运行状态的实时监测工作,确保能够及时全面掌握了解到船舶动力设备运行具体情况,从而有针对性的采取故障诊断维修措施,避免船舶在运行中发生安全事故,威胁到船上人员的生命安全和财产安全。本文将进一步对船舶动力设备状态监测与故障诊断维修展开分析与探讨。     

锅炉风机的故障诊断与状态维修

通过对锅炉送、引风机的状态监测,查找异常和缺陷部位,分析原因,确诊程度,提出故障和缺陷治理应急或永久对策和建议,实现状态维修。     

浅谈运用状态监测与故障诊断技术建立舰艇装备预知维修系统

本文综述了预知维修的基本思想与主要目的,进一步阐述了如何运行状态监测与故障诊断技术建立舰艇装备预知维修系统,具体包括系统数据组成、体系结构、工程实施等内容。     

机电设备状态监测和故障诊断技术

从机电设备状态检测和故障诊断技术研究的技术经济意义出发,叙述了国内有关技术的应用状况、国外现状和发展趋势。     

机械设备现代维修技术——状态维修

论述了机械设备传统维修方式——定期维修的弊端,分析了实现状态维修的可行性,简要介绍了实现状态维修所包括的三部分内容,并对状态维修和传统维修方式的效果进行了比较。国内外实践证明,机械设备实现状态维修可以降低故障率,节省维修费用,延长生产周期和设备使用寿命。     

水泵状态实时监测与智能故障诊断系统

本文以水泵为研究对象，开发研制了一个集数据采集，状态实时监测与报警、工况在线分析及故障智能诊断于一体的状态监测与故障诊断系统，该系统已投入运行，现场应用表明该系统准确、可靠。     

工程机械状态监测与故障诊断技术

在分析我国工程机械状态监测与故障诊断技术现状的基础上,阐述了几种常规的和现代的工程机械状态监测与故障诊断技术。     

球磨机的状态监测与故障诊断

运用离线系统对热电厂关键设备钢球磨煤机进行状态监测与故障诊断。简述该机的主要技术参数,从测点的布置、仪器和数据说明测试过程;从振动数据评析、频谱分析两方面诊断了故障,找到了故障原因,为开展预测维修及故障消除提供了技术依据。     

应用油液综合监测技术诊断液压泵的早期故障

几台工程机械的液压泵发生咬死擦伤而突然失效,为找出事故的真正原因以便采取应对措施,应用油液综合监测技术对液压系统原用新油与现用新油、原用过油与现用过油进行了比较分析,故障诊断的结果表明,导致液压泵早期失效的最主要的原因是该批液压油严重污染(ISO 20/17),因此,油液综合监测技术对于监测油品的污染及设备磨损状况从而避免机械早期失效是十分必要的.     

基于小波变换的柱塞泵故障诊断方法

基于柱塞泵的脉动分析模型,提出了一种基于小波变换的柱塞泵故障诊断方法。以泵出口处的压力信号作 为分析信号,利用小波变换将该信号进行频谱分解,可有效地提取压力信号中所包含的故障信号。仿真与试验结 果均表明:基于小波变换对泵出口压力信号的分析可实现泵的故障诊断。     

混凝土泵车便携式状态监测与故障诊断系统研究

为保障混凝土泵车的安全可靠运行,提高工程机械设备的使用效率,开发了基于混凝土泵车的便携式状态监测与故障诊断系统,详细介绍了该系统的总体结构、软硬件配置及软件监测诊断功能.通过在中联系列泵车上的实际运用,证明了其很强的实用性和有效性,为泵车的正常运行和维护发挥了重要作用.     

基于状态监测和故障诊断的设备管理系统

当前由于状态监测和故障诊断与维修管理的相互脱节,使其应有的作用没有得到充分发挥。针对这种情况,采用了离线和在线监测诊断相结合的状态维修策略,建立了状态维修的工作模型,运用集成定义方法建立了系统的功能模型,进而综合采用网络技术、计算机技术和数据库技术等,开发出了基于状态监测和故障诊断的设备管理系统,为企业成功开展状态维修提供了有效的管理工具。     

基于JSP的压缩机远程状态监测与故障诊断系统

分析了基于Internet的远程故障诊断系统的优越性,在介绍JSP技术及其特点的基础上,提出了基于JSP的远程故障诊断系统的原理与组成,并利用JSP技术实现了通过Internet对压缩机振动状态的远程监测与故障诊断,探讨了设计与实现中的关键技术问题,给出了其振动信号实时频谱图。     

Web-based remote monitoring and fault diagnosis system

This paper proposes an approved Web-based multilayer distributed software architecture solution for remote monitoring and fault diagnosis. To tightly integrate legacy monitor systems, a component framework model based on COM has been proposed, which is very suitable for remote monitoring and fault diagnosis applications. This system has the potential for exchanging a data acquisition system by using wrapper service components. A mixed thick Web client architecture is proposed to implement real-time remote monitoring. A Web-based remote monitoring and fault diagnosis system is developed by using modeling technology, Web application technology, component technology and VME extension for instrumentation (VXI) bus technology, which publishes a fault diagnosis algorithm package, a basic monitoring package and an advanced analysis package on the Internet. This system provides authorized users with an effective and instant way to access new monitoring and diagnosis component packages in time. This paper gives researchers a paradigm to accomplish similar systems. The technique developed may be used for other fields, such as power engineering, manufacture and transportation system.     

大型机泵健康监测与诊断系统设计与应用

该文着重介绍了一种自主研发的大型机泵设备健康监测与诊断系统,该系统具有数据采集、状态监测、异常报警、故障诊断等功能,能够及时、准确地推送设备的运行状态及可能存在的故障隐患,提高检修效率,延长设备寿命。以某化工厂为例,简述了该系统在工业领域中的应用。     

基于嵌入式系统的工程机械液压系统在线状态监测与故障诊断

为了提高工程机械液压系统的使用效率和可靠性,提出了一种基于嵌入式系统平台在线状态监测与故障诊断系统。该系统充分发挥PC104嵌入式计算机低成本、高可靠性等优势,利用工程机械上多种可以测取的信号,将神经网络与专家系统相结合,可实现工程机械液压系统的状态报警和故障诊断。本文详细讨论了系统的硬件构成和软件结构以及系统的工作流程。     

A study on fault diagnosis and maintenance of CNC-WEDM based on binary relational analysis and expert system

The paper presents a binary relational analysis and expert system base module for maintenance and fault diagnosis of CNC wire EDM. The module proposes a framework of integrated maintenance and fault diagnosis system. The study explores the binary coded matrix system, which plays an important role in prediction and diagnosis of wire electrical discharge machining (WEDM) faults on the spot by expert guidance. In this study, 15 inputs were considered to observe eight probable causes with the help of the forward and backward propagation algorithms. Inputs and output matrices were considered in the form of a square matrix. To explain the fault diagnosis and to realize the importance of maintenance through advice, the detection of faults is investigated through forward and back propagation of matrix transformation on the spot. It is an integrated backup that can be individually focused when input and output parameter do not match. It is a time saving, knowledge acquisition, easy to maintain, and capable of self-learning system. To verify the developed framework, 120 data sets were generated for proper analyzing of acquired output through graphical representation. The paper also presents some of the important features of maintenance schedule and probable causes of wire breakage with remedial actions in tabular form. The developed system can help the operators, trainees, and manufacturing engineers in achieving trouble free machining through quick detection of faults and proper maintenance of machines in actual practice.     

A study on fault diagnosis and maintenance of CNC-WEDM based on binary relational analysis and expert system

The paper presents a binary relational analysis and expert system base module for maintenance and fault diagnosis of CNC wire EDM. The module proposes a framework of integrated maintenance and fault diagnosis system. The study explores the binary coded matrix system, which plays an important role in prediction and diagnosis of wire electrical discharge machining (WEDM) faults on the spot by expert guidance. In this study, 15 inputs were considered to observe eight probable causes with the help of the forward and backward propagation algorithms. Inputs and output matrices were considered in the form of a square matrix. To explain the fault diagnosis and to realize the importance of maintenance through advice, the detection of faults is investigated through forward and back propagation of matrix transformation on the spot. It is an integrated backup that can be individually focused when input and output parameter do not match. It is a time saving, knowledge acquisition, easy to maintain, and capable of self-learning system. To verify the developed framework, 120 data sets were generated for proper analyzing of acquired output through graphical representation. The paper also presents some of the important features of maintenance schedule and probable causes of wire breakage with remedial actions in tabular form. The developed system can help the operators, trainees, and manufacturing engineers in achieving trouble free machining through quick detection of faults and proper maintenance of machines in actual practice.