首页> 外文期刊>EC&M >What's new in predictive maintenance?: combinations of new and existing technology have changed the face of predictive maintenance
【24h】

What's new in predictive maintenance?: combinations of new and existing technology have changed the face of predictive maintenance

机译:预测性维护的新功能是什么:新技术和现有技术的结合改变了预测性维护的面貌

获取原文
获取原文并翻译 | 示例
       

摘要

For more than a decade, predictive maintenance (PdM) has enabled facilities technicians to identify and solve problems before they have a chance to damage equipment. Yet financial woes caused by the recent economic decline have taken less than a year to have a markedly negative effect on the discipline. Operations workers are under pressure to maximize profit in every way, leading to cramped equipment rooms, insufficient maintenance downtime, and inadequate infrastructure. These budgetary constraints have also helped to create an odd mix of overloaded equipment, lightly loaded equipment, and complicated switching. Compressed schedules are allowing Code violations and workmanship problems to creep into new construction. Tight budgets sometimes preclude sound engineering, which usually precludes adequate testing. Increasingly, construction crews are supplied with inadequate training, tools, and documentation to conduct the required testing, all of which makes for a challenging maintenance environment. But new developments like improved test instruments, monitoring equipment, training, software, communications, and procedures can help.
机译:十多年来,预测性维护(PdM)使设施技术人员能够在有机会损坏设备之前识别并解决问题。然而,由于最近的经济下滑而造成的财务困境,在不到一年的时间内就对该学科产生了明显的负面影响。运营工人承受着最大程度地利用各种利润最大化的压力,从而导致机房狭窄,维护停机时间不足以及基础设施不足。这些预算限制还帮助造成了设备过载,设备轻载和切换复杂的奇怪混合。压缩的时间表使违反代码和工艺问题可以蔓延到新的结构中。预算紧张有时会妨碍声音工程,而声音工程通常会导致无法进行充分的测试。越来越多地向施工人员提供不足的培训,工具和文档来进行所需的测试,所有这些都为充满挑战的维护环境提供了条件。但是,诸如改进的测试仪器,监视设备,培训,软件,通信和程序之类的新发展可以提供帮助。

著录项

  • 来源
    《EC&M》 |2002年第11期|共3页
  • 作者

    Mark Lamendola;

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 电工安装技术;
  • 关键词

  • 入库时间 2022-08-18 10:45:19

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号