Vibration Analysis Device Peak Value Calculation
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Solution Overview
Problem
Conventional vibration analysis methods for machines suffer from large margins of error in peak value calculations, affecting the accuracy of monitoring and diagnosis due to variations in repeated measurements, especially when the peak value is significantly larger than other values.
Innovation Solution
An analysis device equipped with a vibration sensor, a calculation unit that defines a peak value based on the standard deviation of detection data, and a wireless communication device to transmit processed data, which calculates the peak value by averaging accelerations within a range defined by a coefficient multiplied by the standard deviation, reducing measurement errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the peak value is calculated by taking the maximum value of absolute waveform data, then the calculation is simple, but the margin of error becomes large when there is variation in repeated measurement
Solution Approach 1:
Instead of using only the single maximum peak value, the invention uses multiple top points (several largest peak values) from the waveform data. By averaging these multiple peak values, the calculation incorporates more data points to reduce the impact of measurement variations, thereby improving accuracy while maintaining reasonable computational simplicity.
2Measurement precision
If the peak value is calculated by averaging several top points, then the variation is reduced, but when the maximum peak value is significantly larger than other values, the margin of error remains large
Solution Approach 1:
The invention introduces a statistical parameter approach by calculating the standard deviation of the waveform data and using this to dynamically determine which peak values to include in the averaging process. This parameter-based selection allows the system to adapt to different waveform characteristics, ensuring reliable peak value calculation even when there are significant variations in peak magnitudes.
3Productivity
If the crest factor is monitored using conventional peak value calculation, then the machine state monitoring is performed, but the large margin of error in peak value adversely affects monitoring accuracy
Solution Approach 1:
The invention implements a feedback mechanism where the standard deviation calculation and peak value selection process continuously adapts based on the statistical properties of the waveform data. This feedback loop ensures that the peak value calculation remains accurate across different operating conditions, thereby improving the reliability of crest factor-based machine state monitoring.
Data Source
AI summary
An analysis device includes a vibration sensor that detects vibration of a machine, a calculation unit that defines a peak value on the basis of a standard deviation of detection data of the vibration sensor, and a wireless communication device that transmits processed data output from calculation performed by the calculation unit.