Pump Health Monitoring Using Baseline and Sensor Data
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Solution Overview
Problem
Conventional pump health monitoring systems fail to effectively account for initial manufacturing variations and performance degradation over time, leading to inadequate preventative maintenance.
Innovation Solution
A method involving a control module that receives and compares first pump characteristic data from a data source with real-time sensor data to determine pump health, outputting warnings or initiating maintenance as needed, utilizing a digital memory device or barcode for storing initial performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pump health monitoring systems are used, then basic monitoring functionality is provided, but they fail to account for initial manufacturing variations and performance degradation over time
Solution Approach 1:
The system captures and stores baseline pump characteristic data during initial operation or manufacturing. This preliminary data collection establishes a reference profile that accounts for manufacturing variations, enabling accurate future health comparisons and effective preventative maintenance scheduling
Solution Approach 2:
The system continuously monitors pump performance parameters, compares current readings against stored baseline data, and provides feedback on degradation trends. This feedback mechanism enables dynamic adjustment of maintenance schedules based on actual pump health status rather than fixed time intervals
2Measurement precision
If pump performance data is collected and stored for health monitoring, then accurate health assessment is enabled, but data management complexity increases
Solution Approach 1:
The system extracts and stores only critical baseline characteristic data from the pump during initial operation, separating essential health indicators from redundant information. This selective data extraction maintains assessment accuracy while minimizing data management complexity
Solution Approach 2:
The system transforms raw sensor data into standardized performance parameters and degradation metrics. By changing the form of data representation and focusing on key performance indicators, the system achieves accurate health assessment with simplified data processing and storage requirements
Data Source
AI summary
A method can include receiving, at a control module, first pump characteristic data from a data source associated with a pump, sensing second pump characteristic data from a flow system using one or more sensors, comparing the first pump characteristic data to the second pump characteristic data sensed in the flow system, and determining a health of the pump based on the comparison of the first pump characteristic data to the second pump characteristic data.