Uptake Technologies has been granted a patent for a computing platform that generates survival curves for assets by predicting health distributions based on wear rates and observed states. The platform aggregates survival curves for each failure mode into an aggregate curve displayed on a client device. GlobalData’s report on Uptake Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Uptake Technologies, was a key innovation area identified from patents.

Predictive maintenance computing platform for asset survival curve visualization

Source: United States Patent and Trademark Office (USPTO). Credit: Uptake Technologies Inc

A recently granted patent (Publication Number: US11906960B1) discloses a computing platform designed to generate survival curves for assets. The platform includes a communication interface, processors, and a non-transitory computer-readable medium storing a Bayesian risk inference engine (BRIE). By executing program instructions, the platform can predict the health distribution of an asset for different failure modes based on sensor data and update this distribution based on observed states. The platform can generate survival curves for the asset, aggregate them for each failure mode, and display an aggregate survival curve on a client device. The method involves iteratively performing these steps for each failure mode, considering maintenance potentials like planned and unplanned maintenance, and applying weighting values based on probabilities of asset disabling and underlying causes of observed states.

Furthermore, the patent describes a computer-implemented method and a tangible, non-transitory computer-readable medium storing instructions for generating survival curves for assets. These methods involve updating predicted health distributions based on observed states, aggregating survival curves for each failure mode, and displaying an aggregate survival curve on a client device. The instructions also include steps for analyzing underlying causes of observed states, applying cause weighting values, and considering maintenance potentials. By executing these instructions, the platform can provide a comprehensive analysis of asset health and predict points of failure, aiding in maintenance planning and asset management strategies.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.