Linear Compressor Piston Crash Detection via Harmonic Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting head crashing in linear compressors are cumbersome and require significant memory resources, making it difficult to efficiently monitor and detect piston collisions within the compressor.
Innovation Solution
A method that involves determining a velocity-dependent induced voltage in the driving coil, extracting a higher order harmonic, and establishing a piston crash if the harmonic is greater than a reference value, allowing for efficient detection of head crashing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If slope monitoring methods are used to detect head crashing, then head crashing detection capability is improved, but memory resource requirements and computational complexity increase significantly
Solution Approach 1:
The patent extracts only the essential feature for head crashing detection by monitoring the fundamental frequency component of current and voltage signals, rather than analyzing the complete signal waveform or calculating slopes. This extraction approach maintains detection capability while significantly reducing memory and computational requirements.
Solution Approach 2:
Instead of analyzing the traditional slope of voltage/current signals to detect head crashing, the patent inverts the approach by monitoring the fundamental frequency components and their phase relationships. This inverted methodology achieves the same detection purpose with reduced computational complexity.
2Measurement precision
If comprehensive signal analysis is performed to detect head crashing, then detection accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The patent extracts only the fundamental frequency components from the current and voltage signals using simple filtering techniques, rather than performing comprehensive spectral analysis or slope calculations. This extraction maintains detection accuracy by focusing on the essential diagnostic information while minimizing processing time.
3Ease of operation
If simple monitoring methods are used, then ease of operation is improved, but head crashing detection reliability deteriorates
Solution Approach 1:
The patent introduces fundamental frequency components as intermediary variables that mediate between the raw current/voltage signals and the head crashing detection decision. This intermediary approach maintains operational simplicity by working with filtered signals while ensuring detection reliability through phase relationship analysis.
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 method enables quick and efficient monitoring of head crashing in linear compressors, reducing the risk of damage to components and improving operational reliability without the need for complex slope monitoring or large memory usage.
Implementation Method 1
A driving coil is positioned adjacent the magnet of the piston assembly. A magnetic field of the driving coil engages the magnet of the piston assembly in order to move the piston within the chamber of the cylinder during operation of the driving coil.
Implementation Method 2
determining a velocity dependent induced voltage in the driving coil based at least in part on the current and voltage through the driving coil
Data Source
AI summary
A method for monitoring a linear compressor is provided. The method includes determining a velocity dependent induced voltage in a driving coil of the linear compressor, extracting a higher order harmonic from the velocity dependent induced voltage, and establishing that a piston of the linear compressor is crashing if the higher order harmonic is greater than a reference value.