Rotating Machine Accessory Detection via Spacing-Domain Vibration Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vibration analysis methods for rotating machines are ineffective due to varying operating speeds and uneven tooth spacing on saw belts, leading to inconsistent frequency comparisons and difficulty in identifying accessory damage.
Innovation Solution
A system and method that convert vibration data into conversion data using spacing as the X-axis, allowing for consistent comparison of feature value distributions to identify abnormal accessories by analyzing signal-to-noise ratio quartiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis method is used to detect accessory damage, then vibration data can be converted and analyzed, but it cannot be effectively applied to different operating speeds because different speeds result in different frequencies, making consistent comparison impossible
Solution Approach 1:
The patent changes the analysis parameter from frequency to spacing. Instead of analyzing vibration data in the frequency domain where different operating speeds produce different frequencies, the patent converts vibration timing data to spacing domain data, where the spacing between successive vibrations corresponds to the physical spacing of accessory features (like saw teeth). This parameter transformation makes the analysis independent of operating speed, allowing consistent comparison across different speeds while maintaining damage detection accuracy.
2Loss of information
If frequency analysis is used for vibration data, then analysis can be performed, but it is difficult to infer the position of damaged saw teeth in electric saw equipment with uneven tooth spacing designed to avoid resonance
Solution Approach 1:
The patent transforms the data from frequency domain to spacing domain, where each vibration event is associated with a specific spacing value. By analyzing the distribution of spacing values and their corresponding feature values, the patent can directly identify abnormal spacing patterns that indicate damaged teeth positions, even when the overall tooth spacing is uneven. This approach preserves position information that is lost in traditional frequency analysis.
3Measurement precision
If traditional vibration analysis is used, then analysis can be performed on vibration data, but there is no consistent comparison standard across different operating conditions
Solution Approach 1:
The patent introduces spacing as a new parameter that remains consistent across different operating conditions. By converting vibration timing data to spacing domain data, the patent creates a unified comparison standard based on physical spacing rather than frequency. This allows direct comparison of vibration patterns from accessories operating at different speeds, maintaining analytical consistency and enabling reliable damage detection across varying operating conditions.
Data Source
AI summary
A system for detecting an abnormal feature of a rotating machine and a method thereof are provided. The system includes: a sensing module configured for obtaining vibration data of an accessory of a rotating machine; a data processing module configured for processing the vibration data to generate a plurality of vibration timing data; a conversion module configured for converting each of the plurality of vibration timing data into a plurality of conversion data; and an abnormal feature detection module configured for comparing a feature value distribution in the plurality of conversion data to define the accessory corresponding to the conversion data in which the feature value distribution changes as abnormal.