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Aircraft component manufacturer introduces predictive maintenance
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 网络与连接 - 网关
适用行业
- 航天
适用功能
- 维护
用例
- 预测性维护
挑战
一家主要的欧洲飞机零部件供应商直接遇到了这一挑战。一台关键任务的可编程铣床发生故障，导致该组织的生产流程停止。尽管客户团队具有专业知识，但事实证明，该问题难以诊断。起初，停机时间似乎是由于主轴损坏，这是铣床中最复杂的部件。然而，昂贵且耗时的主轴更换并没有纠正这种情况。该团队被迫进行广泛的系统评估，以确定罪魁祸首。
客户
未公开
关于客户
一家欧洲飞机部件制造商希望创建和实施强大的设备监控和分析解决方案，以提供主动、实时的洞察力
解决方案
该解决方案具有多个集成元素。通过将众多 XIoT 设备和其他监控应用程序与铣床结合起来，维护解决方案可以全面了解它所监督的工具，并确定“正常”系统操作的基线特征。当铣床保持在正常参数范围内时，系统不采取任何行动。然而，如果监控系统检测到与标准的偏差——例如温度变化、能耗、主轴每秒转数或主轴负载——其内置的分析功能可以自动识别适当的行动方案. Capgemini 的解决方案随后可以根据情况的严重程度向维修人员发出警报并派遣维修人员，或向替代人员发送消息。
收集的数据
energy consumption, Temperature
运营影响
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