RF Vibration FFT Screening for Semiconductor Abnormality Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing semiconductor manufacturing apparatuses face challenges in efficiently analyzing high-volume radio-frequency vibration data for abnormality prediction, leading to increased processing loads and reduced analysis efficiency.
Innovation Solution
A semiconductor manufacturing apparatus with a dual-controller system, where a lower-level controller collects and performs FFT processing on radio-frequency vibration data, and a higher-level controller analyzes the data only when it exceeds a threshold value, significantly reducing data transmission and storage overhead by transmitting only relevant data for abnormality prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-speed sampling is performed to collect radio-frequency vibration data for abnormality detection, then measurement precision is improved, but data volume increases leading to increased processing load and reduced analysis efficiency
Solution Approach 1:
The patent extracts and transmits only the essential vibration data information from the high-volume sampled data to the analysis device, separating the data collection function from the data analysis function. This allows high-speed sampling to maintain measurement precision while reducing the data burden on the analysis system.
Solution Approach 2:
The system segments the data processing function into two parts: the measurement device performs high-speed sampling and initial data preparation, while the analysis device performs detailed abnormality detection. This segmentation allows each component to optimize its performance without being burdened by the entire data processing load.
2Loss of information
If all collected vibration data is transmitted to the analysis device, then data completeness is improved, but data transmission overhead and processing time increase
Solution Approach 1:
The measurement device extracts only the necessary vibration data characteristics and transmits them to the analysis device, eliminating redundant data transmission while preserving the essential information needed for accurate abnormality detection.
Solution Approach 2:
The measurement device performs preliminary data processing and preparation before transmission, organizing and filtering the vibration data in advance. This preliminary action reduces the data volume that needs to be transmitted and processed, thereby reducing analysis time while maintaining data completeness.
3Measurement precision
If high-volume vibration data is stored and processed, then analysis accuracy is improved, but system complexity and processing load increase
Solution Approach 1:
The system divides the complex data processing task between the measurement device and the analysis device. The measurement device handles data acquisition and preliminary processing, while the analysis device focuses on abnormality detection algorithms, reducing the complexity burden on each individual component.
Solution Approach 2:
The system extracts only the essential vibration data features needed for abnormality detection, eliminating redundant data storage and processing requirements. This extraction approach maintains analysis accuracy while significantly reducing system complexity.
Data Source
AI summary
A semiconductor manufacturing apparatus includes a first controller that collects radio-frequency vibration data; and a second controller that analyzes the radio-frequency vibration data. The first controller includes a collection unit that collects the radio-frequency vibration data from a sensor, a fast Fourier transform (FFT) unit that performs a FFT processing on the radio-frequency vibration data according to a resolution setting, a FFT data transmission unit that transmits FFT data generated by the FFT processing, to the second controller, and a radio-frequency vibration data transmission unit that transmits the radio-frequency vibration data in a time period in which the FFT data exceeds a threshold value for an abnormality prediction, to the second controller The higher-level controller includes an analysis unit that analyzes the FFT data and the radio-frequency vibration data in the time period.