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Rethinking Machine Performance
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 功能应用 - 企业资产管理系统 (EAM)
适用行业
- 设备与机械
适用功能
- 维护
用例
- 预测性维护
挑战
机器正常运行时间是旋转电机最重要的性能因素之一。在一个小时的停机时间可能相当于数千美元的损失的时候,确保可预测性成为所有工业企业的重中之重。制造商在极其不稳定的环境中运营,因此避免计划外停机对于实现预期的业务成果至关重要。预测性维护不再是一件好事,而是在不利条件下生存和发展的必要条件。从基础开始。让机器性能更好首先意味着了解机器的工作原理,提取相关数据,并获得对正在进行的流程的有意义的洞察。机器的力量在于充分发挥其潜力。
客户
法兰德斯
关于客户
FLANDERS 成立于 1940 年代后期,最初是位于印第安纳州埃文斯维尔的一家维修店 Flanders Electric,在接下来的几十年里成长为工业控制和电力系统技术的全球领导者。私人拥有的家族企业
解决方案
Relayr 的工业物联网产品可帮助公司克服这些挑战,并在竞争激烈的环境中保持相关性。主动方法可确保可靠性、可预测性和更高的性能。利用 relayr 基于人工智能的物联网技术,法兰德斯可以为其客户提供新的数字服务,从而进一步减少意外停机时间并提高资产性能。
此外,操作员可以持续了解关键故障和效率水平,从而提高机器的可预测性和性能。通过合作伙伴关系,现在可以减少资本支出并确保最大程度地生产关键资产。 FLANDERS 是第一家为采矿和重工业市场客户提供创新、有保证的正常运行时间和按使用付费模式的公司。
运营影响
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