Correlation-Based Data Synchronization for Machine Measurements
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Solution Overview
Problem
Existing synchronization techniques require time-consuming setup and resetting based on drive conditions, making efficient synchronization of machine and measurement data challenging.
Innovation Solution
A synchronization device that includes a machine data acquisition unit, measurement data acquisition unit, correlation calculation unit, and synchronized data output unit, which automatically calculates a correlation time difference to synchronize machine and measurement data without the need for prior setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threshold-based feature extraction is used for synchronization, then synchronization can be achieved, but setup work is required and efficiency decreases
Solution Approach 1:
The system performs self-synchronization by automatically calculating the correlation time difference between machine data and measurement data without requiring external setup or threshold configuration. The correlation calculation unit computes the time difference that maximizes correlation strength, enabling the system to synchronize data autonomously and efficiently.
2Reliability
If threshold-based feature extraction is used for synchronization, then synchronization can be achieved, but the process requires resetting based on drive conditions
Solution Approach 1:
Instead of using fixed thresholds that require resetting based on drive conditions, the system dynamically determines the correlation time difference by calculating correlation strength across multiple time differences. This parameter-based approach adapts to varying drive conditions automatically, eliminating the need for manual resetting while maintaining synchronization accuracy.
3Reliability
If manual setup is performed before measurement, then synchronization accuracy can be maintained, but time is lost in preparation
Solution Approach 1:
The system performs preliminary correlation calculation to automatically determine the optimal time difference before actual measurement and synchronization. By pre-calculating the correlation time difference using historical or sample data, the system prepares the synchronization parameters in advance without requiring manual setup, thus maintaining accuracy while minimizing preparation time.
Data Source
AI summary
A synchronization device includes: a machine data acquisition unit acquiring, as machine data, time-series information regarding driving of a machine; a measurement data acquisition unit acquiring, as measurement data, time-series information regarding a state of the machine; a correlation calculation unit calculating a correlation time difference which is a time difference when the strength of correlation between the machine data and the measurement data is maximum on the basis of the machine data, the measurement data, and a time difference when any one of the machine data and the measurement data is staggered in a positive or negative direction of a time axis; a synchronized data output unit outputting the machine data synchronized with the measurement data and the measurement data synchronized with the machine data on the basis of the correlation time difference.