Nissan 的可扩展预测性维护
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)
- 功能应用 - 远程监控系统
适用行业
- 汽车
适用功能
- 维护
用例
- 预测性维护
客户
日产
关于客户
日产汽车在全球 20 个国家和地区生产汽车，包括日本、美国、俄罗斯和英国。 2016年全球汽车产量超过560万辆，产品和服务遍及160多个国家。
挑战
由于拥有丰富的数据和不足以进行分析的熟练资源，Nissan 热衷于扩大使用数据影响维护的好处。它决定启动一项基于状态的维护计划，以将数千种不同资产的生产停机时间减少多达 50%。 Senseye 因其以机器学习为基础的强大预测产品而被 Senseye 所吸引。
解决方案
Senseye 正在为多个全球日产生产基地提供预测性维护能力，这些生产基地生产逍客、X-Trail、Leaf 和英菲尼迪等车型。使用 Senseye 专有的机器学习算法远程监控 9,000 项连接的资产和 30 多种不同的机器类型，包括机器人、输送机、升降机、泵、电机和冲压机/冲压机。超过 400 名维护用户积极使用 Senseye 来优化维护活动，并在预测的机器故障前几个月进行维修。
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