Industrial asset health model update

This invention describes a system that predicts when industrial machines will need maintenance by generating a health profile and a recommended maintenance plan. After the maintenance period, it compares the recommended actions to what actually happened. This comparison is then used to update the prediction model, making future maintenance plans more accurate.

Why it matters: Filed before the widespread availability of industrial IoT data and significant advancements in machine learning algorithms and cloud computing. These changes make building and continuously updating such predictive models, as described in the claims, far more efficient and accurate today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware system, data models, comparison algorithms

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