Systems and methods for removing background noise in an industrial pump environment

This invention describes a system that uses sensors attached to an industrial pump to gather various measurements. It then cleans up this raw data by removing background noise, specifically focusing on isolating vibrations to create a unique "fingerprint" for the pump's components. This cleaned data is used to assess the pump's performance and trigger an appropriate response.

Why it matters: Filed before the widespread adoption of advanced edge AI for real-time sensor data analysis. Modern machine learning models can now more efficiently isolate and interpret complex vibration fingerprints on industrial equipment.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedIndustrial sensors, signal processing software

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