共查询到19条相似文献,搜索用时 218 毫秒
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分析了远程控制与故障诊断系统的主要环节和关键技术,根据数字制造对远程监控与故障诊断的要求以及智能监控与故障诊断本身的优点,介绍了通过远程控制与故障诊断方法在现代数字制造中的应用。 相似文献
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随着社会的不断进步与发展,现代工程机械设备的复杂程度也进一步提升,传统的监测与故障诊断方法显然已经不能适应当今时代的需要了,在这样的背景下,工程机械远程监测与故障诊断系统应运而生,该系统不仅能对机械设备的运行状态进行全方位、实时化监测,同时还能在第一时间诊断出故障,对工程机械设备的安全稳定运行来说意义重大。本文就针对工程机械远程监测与故障诊断系统进行了分析和研究。 相似文献
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利用GPRS和D-S理论的数控设备远程故障诊断系统 总被引:1,自引:0,他引:1
研究利用中国移动GPRS公网进行分布式数控设备远程故障诊断技术,提出一种通过Internet使用户与制造商紧密联系起来,共同诊断并解决数控设备故障的系统架构,采用多传感器信息融合和D-S证据理论诊断技术提高了故障诊断效率和准确性,改变了传统的制造设备诊断方法,降低了设备维护成本,有利于技术的继承和更新. 相似文献
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结合现代网络技术与故障诊断技术,介绍了发动机远程诊断系统的基本组成,分析了远程诊断中心的结构,重点研究了故障推理系统。 相似文献
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机电设备远程监测与诊断系统在LabVIEW平台上的实现 总被引:3,自引:0,他引:3
为了解决传统的监测与故障诊断系统难以实现远程监测与故障诊断的问题,文章在比较国内一些远程监测与故障诊断系统的基础上,介绍了一种新型的基于Internet和Intranet的远程监测与故障诊断系统。详述了系统中的几个技术特点:基于MIMOSA标准的数据库、系统与数据库动态信息交换和开放式的图形化设计语言LabVIEW开发平台。最终实现了此远程监测与故障诊断系统,并成功地加以推广应用。 相似文献
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故障诊断是工业系统健康监测的重要内容,现有的数据驱动故障诊断方法多是利用类别平衡的数据集进行建模的。但在实际应用中,工业系统往往产生大量类别不平衡的样本,给数据驱动故障诊断带来挑战。这一问题受到了学术界和工业界的广泛关注,围绕该方面的研究取得了丰硕的成果。但是,目前针对不平衡分布的数据驱动故障诊断的研究进展综述相对较少,因此无法明确现实的挑战以及未来的研究方向。本文针对不平衡分布的约束问题,从数据驱动诊断方法和诊断应用场景这两个方面综述了国内外的研究进展,并提出了面临的挑战及未来的展望,为故障诊断的研究与应用提供参考。 相似文献
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基于控制系统流程的现代制造系统故障诊断方法 总被引:2,自引:0,他引:2
针对现代制造系统中常用的故障诊断方法——基于控制系统流程的逻辑诊断,从理论上给出了该方法的模型描述,并结合实例,说明了该模型的应用情况。 相似文献
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Yong-Hwan Bae Seok-Hee Lee Ho-Chan Kim Byung-Ryong Lee Jaejin Jang Jay Lee 《The International Journal of Advanced Manufacturing Technology》2006,29(5-6):590-597
Modern manufacturing systems and their failure modes are very complex, and efficient fault diagnosis is essential for higher
productivity. However, traditional fault diagnostic systems that perform sequential fault diagnosis can fail during diagnosis
when fault propagation is very fast. This paper describes a real-time intelligent multiple fault diagnostic system (RIMFDS).
This system deals with multiple fault diagnosis, and is based on multiprocessing by using a strata hierarchical artificial
neural network (SHANN). If another fault occurs while an existing symptom is being diagnosed, the corresponding diagnosis
module is triggered, and the fault diagnosis module of the new faulty unit begins to diagnose the faults in real time. RIMFDS
can diagnose multiple faults with fast fault propagation and complex physical phenomena. The system consists of two main parts.
One is a personal computer for remote signal generation and transmission, and the other is a host system for multiple fault
diagnosis. The signal generator generates various faulty signals and image information and sends them to the host. The host
has various modules and agents for efficient multiple fault diagnosis. A SUN workstation is used as a host for multiple fault
diagnosis and graphic representation of the results. 相似文献
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A real-time intelligent multiple fault diagnostic system 总被引:3,自引:0,他引:3
Yong-Hwan Bae Seok-Hee Lee Ho-Chan Kim Byung-Ryong Lee Jaejin Jang Jay Lee 《The International Journal of Advanced Manufacturing Technology》2006,29(5):590-597
Modern manufacturing systems and their failure modes are very complex, and efficient fault diagnosis is essential for higher
productivity. However, traditional fault diagnostic systems that perform sequential fault diagnosis can fail during diagnosis
when fault propagation is very fast. This paper describes a real-time intelligent multiple fault diagnostic system (RIMFDS).
This system deals with multiple fault diagnosis, and is based on multiprocessing by using a strata hierarchical artificial
neural network (SHANN). If another fault occurs while an existing symptom is being diagnosed, the corresponding diagnosis
module is triggered, and the fault diagnosis module of the new faulty unit begins to diagnose the faults in real time. RIMFDS
can diagnose multiple faults with fast fault propagation and complex physical phenomena. The system consists of two main parts.
One is a personal computer for remote signal generation and transmission, and the other is a host system for multiple fault
diagnosis. The signal generator generates various faulty signals and image information and sends them to the host. The host
has various modules and agents for efficient multiple fault diagnosis. A SUN workstation is used as a host for multiple fault
diagnosis and graphic representation of the results. 相似文献
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Web-based remote monitoring and fault diagnosis system 总被引:2,自引:0,他引:2
Xing Wu Jin Chen Ruqiang Li Fucai Li 《The International Journal of Advanced Manufacturing Technology》2006,28(1-2):162-175
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. 相似文献