Methods and systems to predict a state of the machine using time series data of …

This invention describes a system that uses sensors to collect time-based data from a machine. It applies specific filters to this data, then uses machine learning to build a model that predicts the machine's future health or state. The claims specifically focus on using this for managing machine health.

Why it matters: Since 2016, machine learning algorithms and computational resources have dramatically improved, making the complex filtering and model training described far more efficient and accessible for real-time machine health prediction.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, data filtering.

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