Hydraulic Pump Failure Prediction Using Temperature and Filter Pressure
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Solution Overview
Problem
Conventional hydraulic pump monitoring systems that rely solely on differential temperature thresholds are unreliable and can produce false positive readings, leading to unnecessary and costly replacements of functional hydraulic pumps in aircraft systems.
Innovation Solution
A method and system that monitor both differential temperature and differential pressure across a filter associated with the hydraulic pump, using sensors and processors to generate alert signals indicating potential failure or the need for monitoring based on threshold comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only differential temperature monitoring is used to determine hydraulic pump failure, then the monitoring system is simple, but false positive readings occur leading to unreliable failure prediction
Solution Approach 1:
The patent combines differential temperature monitoring and differential pressure monitoring into a unified hydraulic pump health assessment system. Both parameters are monitored simultaneously and evaluated together to determine pump failure, merging two monitoring approaches into one comprehensive solution that reduces false positives while maintaining system manageability.
Solution Approach 2:
The monitoring system is designed to evaluate multiple health parameters (temperature and pressure) using a single integrated system that can assess overall pump health. The system performs multiple functions: monitoring temperature, monitoring pressure, comparing both against thresholds, and generating a comprehensive failure determination, making the monitoring system universal rather than specialized for a single parameter.
2Reliability
If differential temperature threshold is used alone for failure determination, then the system is easy to operate, but unnecessary pump replacements occur due to false positives
Solution Approach 1:
The failure determination process merges temperature-based failure criteria and pressure-based failure criteria into a single decision-making framework. Both parameters must be evaluated together, combining their diagnostic value to determine whether pump failure has occurred, thereby improving accuracy while maintaining operational simplicity through automated dual-parameter assessment.
Data Source
AI summary
In one or more embodiments, a system for predicting health of a hydraulic pump comprises a reservoir tank temperature sensor to measure a temperature of a reservoir tank. The system further comprises a hydraulic pump temperature sensor to measure a temperature of the hydraulic pump. Also, the system comprises a differential pressure sensor to measure a differential pressure across a filter associated with the hydraulic pump. Further, the system comprises a processor(s) to determine a differential temperature by subtracting the temperature of the reservoir tank from the temperature of the hydraulic pump, to compare the differential temperature to a differential temperature threshold, to compare the differential pressure to a differential pressure threshold, and to generate an alert signal indicating failure of the hydraulic pump, when the processor(s) determines that the differential temperature exceeds the differential temperature threshold and the differential pressure exceeds the differential pressure threshold.