Breathing Assistance Fault Detection via Pressure Flow Filtering
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Solution Overview
Problem
Breathing assistance devices face operational faults such as gas flow source malfunctions and patient interface disconnections, which can lead to overheating, injury, or even explosions, and existing systems lack effective fault detection mechanisms to prevent these issues.
Innovation Solution
A breathing assistance system equipped with pressure and flow rate detectors, coupled with a fault detection system that filters measurements to determine filtered error values and detect fault conditions, enabling timely alerts and disabling of the gas flow source to prevent damage or injury.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault detection mechanisms are added to breathing assistance devices, then safety and reliability are improved, but device complexity increases
Solution Approach 1:
The control circuit performs multiple functions including normal breathing assistance control and fault detection using the same hardware components. Pressure and flow rate measurements taken for therapeutic control are also utilized for fault detection algorithms, allowing the system to monitor for faults without adding dedicated separate detection hardware for each function.
Solution Approach 2:
The system monitors its own operational parameters (pressure, flow rate) and automatically detects faults through embedded algorithms in the control circuit. The fault detection capability is integrated into the existing control system, allowing the device to self-diagnose conditions such as disconnections, blockages, or component failures without external monitoring equipment.
2Measurement precision
If multiple sensors and filtering mechanisms are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system applies filtering algorithms to pressure and flow rate measurements in advance of fault detection analysis. By pre-processing the sensor signals to remove noise and outliers, the system improves measurement precision for subsequent fault detection without requiring complex real-time processing during critical decision-making moments.
Solution Approach 2:
The control circuit continuously monitors pressure and flow rate measurements and uses feedback from these measurements to adjust system operation and detect faults. The filtered measurement values are fed back into the control algorithm, which compares them against expected ranges and triggers fault detection when deviations occur, creating a closed-loop system that improves precision through iterative refinement.
Data Source
AI summary
A breathing assistance system with functionality for detecting the existence of a fault condition may include a pressure detector, a flow detector and a fault detection system. The pressure detector may take pressure measurements, each measurement including a measurement of a gas flow rate in the breathing assistance system. The flow detector may take flow rate measurements, each flow rate measurement including a measurement of has flow rate in the breathing assistance system. The fault detection system may process the pressure measurements and/or flow rate measurements to determine the existence of a fault condition associated with the breathing assistance system.