20240046182. PREDICTIVE ANALYTICS SYSTEMS AND METHODS simplified abstract (Raytheon Technologies Corporation)

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PREDICTIVE ANALYTICS SYSTEMS AND METHODS

Organization Name

Raytheon Technologies Corporation

Inventor(s)

Robert Glenn Morris Ii of Fernandino Beach FL (US)

Mario Montag of Atlanta GA (US)

Phillippe Thys of Antwerp (BE)

PREDICTIVE ANALYTICS SYSTEMS AND METHODS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240046182 titled 'PREDICTIVE ANALYTICS SYSTEMS AND METHODS

Simplified Explanation

The patent application describes various methods and systems for improved predictive analytics. One example is a method of managing the operation of an asset or group of assets by comparing a generated prediction with one or more prediction ranges associated with a risk profile assigned to an operational outcome of interest. If the comparison indicates a deviation from the prediction range, a notification is presented to an operator. The operator can then provide input, such as accepting or rejecting the notification, which is used as updated source data for generating subsequent predictions. The operator-generated input can be based on real-time or near real-time information that the operator possesses, which is independent of historical source data.

  • The patent application provides a method for managing assets by comparing predictions with risk profiles and notifying operators of deviations.
  • The method incorporates operator-generated input as updated source data for generating subsequent predictions.
  • The operator-generated input can be based on real-time or near real-time information that the operator possesses.
  • The operator-generated input is independent of historical source data.

Potential applications of this technology:

  • Asset management in various industries such as manufacturing, energy, transportation, etc.
  • Predictive maintenance of equipment and machinery.
  • Risk assessment and mitigation in operational outcomes.

Problems solved by this technology:

  • Improved accuracy in predicting operational outcomes.
  • Timely identification of deviations from predicted outcomes.
  • Incorporation of operator knowledge and real-time information into predictive analytics.

Benefits of this technology:

  • Enhanced asset management and optimization.
  • Increased operational efficiency and cost savings.
  • Improved decision-making based on real-time information.
  • Minimized downtime and maintenance costs through proactive measures.


Original Abstract Submitted

various examples of methods and systems are provided for improved predictive analytics. in one example, a method of managing operation of an asset or group of assets of interest includes comparing a generated prediction with one or more prediction range associated with a risk profile assigned to an operational outcome of interest, presenting a notification to an operator in response to the comparison, and incorporating operator-generated input as updated source data for the generation of subsequent predictions. the operator-generated input can comprise an operator-defined selection such as, e.g.,.; acceptance of the notification, or rejection of the notification. the operator-generated input can provide real time or near real time information based upon context-specific knowledge that the operator holds that is substantially independent of historical source data.

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