Gas Concentrator Sensor Analytics for Predictive Failure Detection

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Solution Overview

Problem

Existing gas concentrating systems lack efficient diagnostic capabilities to predict component failure, leading to unexpected breakdowns and inefficient maintenance.

Innovation Solution

Implementing systems and methods that analyze sensor data, such as pressure and oxygen levels, to calculate a time to failure for components using linear regression analysis, generate alarms for pending failures, and adjust system settings for optimal performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional monitoring systems are used to track component status, then the system can detect current component states, but it cannot predict future failures or provide advance warning

Engineering Contradiction:

Improvecomponent failure predictionVSAvoidfailure timing information

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary analysis of component degradation trends by continuously monitoring sensor data and applying linear regression analysis to predict future failure times before actual failure occurs. This allows advance scheduling of maintenance activities and prevents unexpected breakdowns.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system establishes a closed-loop feedback mechanism where sensor data from pressure, temperature, and other components is continuously collected, analyzed through linear regression models, and used to update failure predictions. The system provides ongoing feedback about component health status and predicted failure timing to enable proactive maintenance.

Inventive Principle:

Principle #23Feedback

2Ease of repair

If the system performs comprehensive diagnostic analysis to identify failing components, then maintenance efficiency is improved, but system complexity and computational requirements increase

Engineering Contradiction:

Improvemaintenance efficiencyVSAvoiddiagnostic system complexity

Core Design Contradiction:

Ease of repairVSDevice complexity

Solution Approach 1:

The system performs self-diagnosis by automatically collecting sensor data, analyzing degradation trends through linear regression, and identifying failing components without requiring external diagnostic equipment or expert intervention. The system generates its own maintenance recommendations based on its operational data.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces complex mechanical diagnostic procedures and manual component testing with computational analysis of sensor data. Linear regression algorithms substitute for physical diagnostic tools, enabling failure prediction through mathematical modeling rather than mechanical inspection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12594524B2System and method for concentrating gas

Publication Date: 2026.04.07 VENTEC LIFE SYSTEMS INC

AI summary

Embodiments of gas concentrating systems and methods are provided. These systems and methods comprise configuration of hardware and software components to monitor various sensors associated the systems and methods of concentrating gas as described herein. These hardware and software components are further configured to utilize information obtained from sensors throughout the system to perform certain data analysis tasks. Through analysis, the system may, for example, calculate a time to failure for one or more system components, generate alarms to warn a user of pending component failure, modify system settings to improve functionality in differing environmental conditions, modify system operation to conserve energy, and/or determine optimal setting configurations based on sensor feedback.