View source for 18519418. METHOD FOR DETERMINING A PROBABILITY OF OCCURRENCE OF A MALFUNCTION CREATING A PERFORMANCE DEFECT IN AN AIRCRAFT simplified abstract (Airbus Operations GmbH)

=METHOD FOR DETERMINING A PROBABILITY OF OCCURRENCE OF A MALFUNCTION CREATING A PERFORMANCE DEFECT IN AN AIRCRAFT=


==Organization Name==

[[:Category:Airbus Operations GmbH|Airbus Operations GmbH]]


[[Category:Airbus Operations GmbH]]

==Inventor(s)==

[[:Category:Jean-Marie Dautelle of BLAGNAC (FR)|Jean-Marie Dautelle of BLAGNAC (FR)]][[Category:Jean-Marie Dautelle of BLAGNAC (FR)]]

[[:Category:Sara Wallinger of HAMBURG (DE)|Sara Wallinger of HAMBURG (DE)]][[Category:Sara Wallinger of HAMBURG (DE)]]

==METHOD FOR DETERMINING A PROBABILITY OF OCCURRENCE OF A MALFUNCTION CREATING A PERFORMANCE DEFECT IN AN AIRCRAFT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18519418 titled 'METHOD FOR DETERMINING A PROBABILITY OF OCCURRENCE OF A MALFUNCTION CREATING A PERFORMANCE DEFECT IN AN AIRCRAFT

==Simplified Explanation==

The abstract describes a method for determining the probability of a malfunction creating a performance defect in an aircraft by refining input data to establish causal links between measurements and the malfunction.

* The method processes input data to retain only relevant measurements for determining the probability of a malfunction following a previous event.
* It refines the input data to establish causal links between measurements and the malfunction.
* The probability of a malfunction is determined based on the occurrence of one or more previous events.

== Potential Applications ==
This technology could be applied in the aviation industry to predict and prevent potential malfunctions in aircraft, improving safety and efficiency.

== Problems Solved ==
This technology helps in identifying and addressing potential malfunctions in aircraft before they lead to performance defects, reducing the risk of accidents and improving overall safety.

== Benefits ==
The method allows for proactive maintenance and troubleshooting in aircraft, leading to increased reliability and reduced downtime due to unexpected malfunctions.

== Potential Commercial Applications ==
The technology could be utilized by airlines, aircraft manufacturers, and maintenance companies to enhance the safety and reliability of aircraft, potentially reducing maintenance costs and improving customer satisfaction.

== Possible Prior Art ==
One possible prior art could be predictive maintenance systems used in other industries, such as manufacturing or transportation, to anticipate and prevent equipment failures before they occur.

=== Unanswered Questions ===

=== How does this method compare to traditional maintenance practices in the aviation industry? ===
This article does not provide a direct comparison between the proposed method and traditional maintenance practices in the aviation industry. It would be helpful to understand the potential advantages and limitations of this new approach compared to existing methods.

=== What are the specific types of malfunctions or performance defects that this method is most effective at predicting? ===
The article does not specify the types of malfunctions or performance defects that this method is most effective at predicting. Understanding the scope and limitations of the technology in predicting different types of issues would be valuable for potential users.


==Original Abstract Submitted==

A method for determining a probability of occurrence of a malfunction creating a performance defect in an aircraft makes it possible to process a set of input data so as to retain only measurements relevant with regard to determining the probability of occurrence of the malfunction following a previous event. In other words, the method makes it possible to refine a set of input data so as to establish relevant causal links between records of measurements and a malfunction, so as to determine a probability of occurrence of a malfunction based on the occurrence of one or more previous events.



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