Aircraft Oxygen Bottle Remaining Useful Lifetime Estimation

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Solution Overview

Problem

Current methods for estimating the remaining useful lifetime of oxygen bottles in aircraft cockpits are inadequate, as they fail to capture long-term variability and do not accurately predict degradation, leading to insufficient maintenance anticipation.

Innovation Solution

A method and system that automatically estimate the remaining useful lifetime of oxygen bottles by collecting and correcting oxygen pressure values, adapting an average degradation model based on historical data, generating future degradation scenarios, and providing a probabilistic assessment of end-of-life, with alert signals for maintenance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a single threshold value is used to assess oxygen capacity, then the assessment is simple, but it fails to capture long-term variability and predict degradation accurately

Engineering Contradiction:
Improvesimplicity of assessmentVSAvoidaccuracy of degradation prediction
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent transforms the single threshold assessment into a multi-parameter analysis by introducing a probabilistic distribution function with multiple parameters (mean, standard deviation, shape parameters). This allows the system to capture long-term variability and predict degradation more accurately while maintaining operational simplicity through automated computation.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces an intermediary probabilistic distribution function that mediates between the simple threshold check and the complex degradation prediction. This distribution function processes the pressure measurements and provides a probabilistic assessment that bridges the gap between simplicity and accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If filtering methods like Kalman filter are used, then short-term noise is reduced, but long-term variability is not captured

Engineering Contradiction:
Improvenoise reductionVSAvoidlong-term variability capture
Core Design Contradiction:
Measurement precisionVSDuration of action of stationary object

Solution Approach 1:

The patent employs a dynamic approach by using a probabilistic distribution function that is continuously updated with new measurements. This dynamic model adapts to changing conditions over time, capturing both short-term noise characteristics and long-term variability trends, unlike static filtering methods.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent adds a temporal dimension to the analysis by modeling the evolution of the pressure distribution over time. The probabilistic distribution function incorporates time-dependent parameters that capture long-term variability, transforming the analysis from a static snapshot to a dynamic trajectory.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If data-driven models like ARMA or neural networks are used, then prediction capability is improved, but interpretability and availability of training data become issues

Engineering Contradiction:
Improveprediction accuracyVSAvoidinterpretability and data availability
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent implements a feedback mechanism where the probabilistic distribution function is continuously updated with new pressure measurements from actual oxygen bottle operations. This feedback loop allows the model to learn from real-world data while maintaining interpretability through the use of standard statistical parameters that can be easily monitored and understood.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables accurate and anticipatory maintenance of oxygen bottles by learning degradation behavior from past data and providing a probabilistic assessment of end-of-life, thus improving the management of spare parts and the lifecycle of oxygen bottles.

Implementation Method 1

a current temperature outside of the aircraft and a current temperature of the cockpit of the aircraft

Methodology Applied
Scientific EffectThermal expansion: Thermal Expansion

Data Source

PatentUS20250130135A1Method and system for automatically estimating the remaining useful lifetime of at least one oxygen bottle in the cockpit of an aircraft
Publication Date: 2025.04.24 AIRBUS OPERATIONS (SAS)
  • US20250130135A1 patent drawing
  • US20250130135A1 patent drawing
  • US20250130135A1 patent drawing

AI summary

A system includes a collecting unit for collecting a current oxygen pressure value of the oxygen bottles, an estimating unit for estimating an average degradation model, an adapting unit for adapting the average degradation model, a generating unit for generating several future degradation scenarios, an estimating unit for estimating, for each of the future degradation scenarios, a remaining useful lifetime, and for generating a remaining useful lifetimes probability distribution, a transmitting unit for transmitting an end-of-lifetime alert signal to an alert device if a remaining useful lifetime of an oxygen bottle is below a predetermined alert threshold.