罗尔斯-罗伊斯朝着全面的预见性维护又迈出了一步 （Rolls Moves Toward Complete Predictive Maintenance)
Credit: EmadIV (Wikimedia Commons)
预见性维护通常会引发大量数据和复杂、超复杂的预测算法。但是，在任何一种情况发生之前，或者至少在最大程度地发挥作用之前，必须解决棘手的数据共享问题。据数字服务经理Nick Ward称，罗尔斯-罗伊斯通过与SITA和IFS-Maintenix合作，已经采取了两个主要步骤来应对这些问题。 Predictive maintenance usually summons up visions of massive data volumes and complicated, hyper-sophisticated predictive algorithms. But before any of this...
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