Axial Piston Pump Fault Detection via Drain Pressure Harmonics
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Solution Overview
Problem
Existing systems for detecting abnormalities in hydraulic rotating equipment, such as axial piston pumps, face challenges in setting suitable thresholds for accurate detection, leading to inefficiencies in identifying equipment conditions.
Innovation Solution
A system that uses a sensor to measure drain pressure and processing circuitry to perform frequency analysis on the pressure waveform, comparing the amplitude of rotational components in the frequency spectrum to determine normal or abnormal conditions without relying on thresholds, by assessing the relative amplitudes of rotational components to the first-degree component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a threshold-based method is used to detect abnormalities by comparing pressure amplitude at rotational frequency, then the detection system is simple to implement, but it is difficult to set a suitable threshold for accurately detecting abnormalities
Solution Approach 1:
The patent changes the detection parameter from pressure amplitude at rotational frequency to pressure amplitude at rotational Mth-degree frequency (M times the rotational frequency). This parameter change allows the system to detect abnormalities in the Mth-degree harmonic component, which provides more accurate detection without requiring complex threshold setting, as the Mth-degree component characteristics are more distinct for abnormal conditions
Solution Approach 2:
The patent introduces a new dimension of analysis by examining the Mth-degree harmonic component (M times rotational frequency) rather than just the fundamental rotational frequency. This dimensional shift in frequency analysis provides additional information about the system state, enabling more accurate abnormality detection while maintaining implementation simplicity
2Measurement precision
If frequency analysis is performed on pressure waveform to generate frequency spectrum, then detection accuracy can be improved, but the complexity of the detection system increases
Solution Approach 1:
The patent extracts only the specific Mth-degree harmonic component (at frequency M times rotational frequency) from the full frequency spectrum, rather than analyzing the entire spectrum. This selective extraction maintains high detection accuracy by focusing on the most informative component while reducing computational complexity compared to comprehensive spectral analysis
Solution Approach 2:
The patent applies partial action by performing frequency analysis only at the specific Mth-degree frequency component rather than analyzing all frequency components. This partial analysis approach achieves sufficient detection accuracy with reduced computational effort and system complexity
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
This approach allows for accurate detection of abnormalities in hydraulic rotating equipment without the need for thresholds, enabling automatic and efficient monitoring during idling operations, improving detection accuracy and reducing operator intervention.
Implementation Method 1
a sensor that measures a drain pressure of the hydraulic rotating equipment
Implementation Method 2
processing circuitry that performs frequency analysis on a pressure waveform that is a result of measurement by the sensor to generate a frequency spectrum
Data Source
AI summary
A system for detecting an abnormality in hydraulic rotating equipment according to one embodiment includes: a sensor that measures a drain pressure of the hydraulic rotating equipment; and processing circuitry. The hydraulic rotating equipment is of an axial piston type and includes M pistons. The processing circuitry performs frequency analysis on a pressure waveform that is a result of measurement by the sensor to generate a frequency spectrum, and if a pressure amplitude of a rotational Mth-degree component in the frequency spectrum is less than a predetermined percentage of a pressure amplitude of a rotational first-degree component in the frequency spectrum, determines that the hydraulic rotating equipment is in a normal condition, whereas if the pressure amplitude of the rotational Mth-degree component is greater than the predetermined percentage of the pressure amplitude of the rotational first-degree component, determines that there is an abnormality in the hydraulic rotating equipment.