Hydraulic Pump Vibration Monitoring for Leak Detection
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Solution Overview
Problem
Hydraulic fracturing pumps are prone to failure due to the abrasive and corrosive nature of fracking fluid and high pressures, necessitating a simplified monitoring system to detect leaks and cavitation effectively.
Innovation Solution
A monitoring system incorporating an accelerometer and a controller that generates acceleration data, calculates the root mean square (RMS) average of the acceleration, and compares it to fault thresholds to detect leaks and cavitation, with alert signals triggered when thresholds are exceeded for a specified time period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple pressure sensors are used to monitor suction pressure, discharge pressure, and pump cylinder pressure separately, then the detection accuracy of pump failures is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple pressure sensing functions into a single accelerometer device. The accelerometer measures vibrations caused by pressure variations in the pump system, effectively merging the functionality of multiple pressure sensors into one integrated component, thereby reducing device complexity while maintaining detection accuracy
Solution Approach 2:
The patent replaces traditional mechanical pressure sensors with an accelerometer-based vibration analysis system. By measuring mechanical vibrations that result from pressure fluctuations, the system substitutes direct pressure measurement with indirect vibration measurement, simplifying the overall device architecture
2Reliability
If the monitoring system continuously monitors pump acceleration and compares RMS values against fault thresholds, then the reliability of pump failure detection is improved, but the use of energy increases
Solution Approach 1:
The system performs periodic monitoring by continuously measuring acceleration and calculating RMS values at regular intervals, comparing these against pre-established fault thresholds. This periodic assessment approach maintains reliable detection while avoiding continuous high-energy processing operations
Solution Approach 2:
The system pre-establishes fault thresholds and time thresholds before operation begins. By having these reference values predetermined, the system avoids the need for complex real-time threshold calculation, reducing energy consumption while maintaining reliable detection capabilities
3Measurement precision
If the system differentiates between leakage and cavitation by comparing RMS peak-to-peak values against differentiation thresholds, then the measurement precision of fault type identification is improved, but the device complexity increases
Solution Approach 1:
The system applies a two-stage monitoring approach: first comparing RMS average values against fault thresholds to detect any fault condition, and only when faults are detected does it proceed to the second stage of comparing RMS peak-to-peak values against differentiation thresholds. This partial application of the more complex differentiation logic reduces overall system complexity while maintaining high measurement precision for fault type identification
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
The system effectively monitors hydraulic pump performance, differentiates between leakage and cavitation, and generates timely alerts, reducing the risk of pump failure and damage by providing early detection of faults.
Implementation Method 1
an accelerometer and a controller. The accelerometer is associated with the hydraulic pump and is disposed relative to the hydraulic pump to generate acceleration data indicative of acceleration of the hydraulic pump
Implementation Method 2
The controller is further configured to determine a root mean square ('RMS') average of the acceleration of the accelerometer based upon the acceleration of the hydraulic pump
Data Source
AI summary
A pump monitoring and notification system for a hydraulic pump includes an accelerometer and a controller. The accelerometer is associated with the hydraulic pump and is disposed relative to the hydraulic pump to generate acceleration data indicative of acceleration of the hydraulic pump. The controller is configured to access a fault threshold, access a time threshold, and determine an acceleration of the accelerometer based upon the acceleration data from the accelerometer. The controller is further configured to determine an RMS average of the acceleration of the accelerometer based upon the acceleration of the hydraulic pump, compare the RMS average of the acceleration of the accelerometer to the fault threshold, and generate an alert signal when the RMS average of the acceleration of the accelerometer exceeds the fault threshold for a time period exceeding the time threshold.