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SENSOR NETWORK CLOUD TECHNOLOGY

机译:传感器网络与云技术

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摘要

Manufacturing and industrial facilities rely on rotating assets, such as pumps, compressors, fans, motors, and turbines. Maintaining these critical assets is crucial to uptime and performance. It is estimated that less than 20% of these critical assets are proactively monitored via online systems to detect problems and determine their mechanical health. Other semi-critical assets, otherwise known as balance-of-plant assets, may have sensors installed, but are infrequently and manually sampled via scheduled route based handheld data collectors. Condition-based maintenance is a strategy where maintenance is performed when one or more indicators show that equipment will fail or performance is deteriorating. Time-based maintenance tasks for machines shown to be running well are avoided, eliminating the possibility of introducing a defect into the system.
机译:制造和工业设施依赖于旋转资产,例如泵,压缩机,风扇,电动机和涡轮机。维护这些关键资产对于正常运行时间和性能至关重要。据估计,只有不到20%的这些关键资产通过在线系统被主动监控,以发现问题并确定其机械状况。其他半关键资产(也称为工厂平衡资产)可能已安装传感器,但不经常通过基于计划路线的手持式数据收集器进行手动采样。基于状态的维护是一种策略,其中当一个或多个指示器表明设备将发生故障或性能下降时,将执行维护。避免了对运行良好的机器进行基于时间的维护任务,从而消除了将缺陷引入系统的可能性。

著录项

  • 来源
    《39th annual training conference》|2015年|289-292|共4页
  • 会议地点 Indianapolis(ID)
  • 作者单位

    GTI Predictive Technology, VP Sales and Marketing;

    Lord MicroStrain, Manager Software Engineering;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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