Manufacturing Equipment Quality Diagnosis Using FFT Frequency Peaks
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Solution Overview
Problem
The existing methods for diagnosing and improving the quality of manufacturing facilities for secondary batteries are inefficient due to the complexity of production factors, leading to increased defect rates and decreased process efficiency.
Innovation Solution
A method that involves obtaining continuous inspection values, deriving conversion peaks per frequency using Fast Fourier Transform, securing natural frequencies for each production factor, and diagnosing quality by comparing these frequencies to identify and address production factors affecting the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an overall diagnosis of the entire manufacturing facility is performed to identify production factors causing product defects, then the quality of manufactured secondary batteries is improved, but the process efficiency decreases
Solution Approach 1:
The patent segments the manufacturing facility into multiple production factors (e.g., coating unit, drying unit, winding unit) and diagnoses each separately using frequency analysis. This allows targeted identification of defective production factors without requiring a comprehensive analysis of the entire facility, thus improving quality while maintaining process efficiency.
2Reliability
If various production factors in manufacturing equipment are analyzed to identify defect causes, then the defect rate is reduced, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical analysis of multiple production factors with frequency domain analysis using Fast Fourier Transform. By converting time-domain inspection data into frequency-domain signals, the system can automatically identify defective production factors through spectral peaks, reducing the complexity of analysis while maintaining high defect detection accuracy.
3Measurement precision
If continuous inspection values are obtained and analyzed for each production factor, then the measurement precision is improved, but the loss of time increases
Solution Approach 1:
The patent changes the parameter domain from time-domain inspection data to frequency-domain spectral analysis. By applying Fast Fourier Transform to continuous inspection values, the system efficiently extracts characteristic frequencies of each production factor, achieving high measurement precision while reducing the time required for analysis through mathematical transformation rather than prolonged monitoring.
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 the simultaneous quantification and diagnosis of manufacturing facility quality, allowing for targeted improvements and reducing defect rates by identifying and addressing specific production factors affecting the quality of secondary batteries.
Implementation Method 1
the step of deriving the conversion peak per frequency indicating the degree of expression per production cycle by separating the continuously obtained inspection values for each frequency band is performed by Fast Fourier Transform (FFT)
Data Source
AI summary
The present invention relates to a method for quantifying and diagnosing the quality of manufacturing equipment, that is, to a quantitative diagnostic method for the quality of manufacturing equipment. It is possible to quantify the quality of manufacturing equipment having a plurality of production elements and diagnose same in a single attempt.