技术
- 分析与建模 - 预测分析
适用行业
- 设备与机械
适用功能
- 维护
用例
- 预测性维护
客户
未公开
关于客户
世界领先的非公路设备制造商之一。
挑战
客户希望通过有效地优先考虑维护活动并在故障前主动更换组件来减少停机时间和生产损失。
解决方案
我们设计了一组高级分析解决方案,可以预测资产组件何时会发生故障,并将更换与计划的维护计划保持一致。我们还构建了预测算法,用于评估机器的异常或维修历史、操作和维护实践等,以在计划维护之前预测灾难性的过早故障风险。我们创建了一个预测模型,根据创建的资产风险类别评估资产健康状况的相对表现,范围从 100(新)到 0(失败),以帮助评估资产的估计剩余使用寿命。
运营影响
数量效益
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