Predictive engine maintenance harnesses the power of engine sensor data, digital monitoring/transmission tools, artificial intelligence-enabled big data analysis, and modern digital modeling techniques such as "digital twins" (creating virtual versions of engines whose "operational lifespans" mirror their physical counterparts) to predict maintenance issues before they occur. By using this predictive approach, engine MROs can address issues for their aviation customers before they become serious, expensive, and likely to cause Aircraft on Ground situations. PEM also allows aircraft owners/operators to base some of their maintenance cycles on actual needs rather than fixed time periods. In this way, less money is spent on maintenance, without compromising safety or aircraft availability.
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