Error pattern identification in an installed base of systems

This invention describes a system that helps maintain machines spread out in different places. It collects error messages from these machines and uses computer analysis to spot common problems. This allows maintenance teams to quickly send the right parts and people when a specific issue is detected, even before a full breakdown.

Why it matters: In 2010, scalable data mining for real-time predictive maintenance on distributed systems was complex and costly. Today, ubiquitous cloud computing and advanced machine learning tools make such a heavy software system far more accessible and efficient to build.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, data mining, network integration

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