Machine Dynamic Response Mapping Across the Full Workspace
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Solution Overview
Problem
Existing methods for assessing the dynamic properties of machines, particularly machine tools, are limited in their ability to provide comprehensive statements about location dependencies and cause-and-effect relationships due to measurements being performed individually on each axis and at a few selected positions, restricting the validity of such assessments.
Innovation Solution
A method involving measurement runs over the entire workspace of each axis, capturing and analyzing data using a data processing unit and image processing algorithms to determine a time-frequency representation, enabling comprehensive statements about location dependencies and identifying cause-and-effect relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are performed individually on each axis at a few selected positions, then the measurement process is simple and quick, but the validity of statements about location dependencies is greatly limited
Solution Approach 1:
The measurement process is segmented into multiple measurement runs, each covering a specific position of the axis. By dividing the workspace into discrete measurement positions and performing individual measurement runs at each position, the system achieves comprehensive coverage of the entire work area while maintaining manageable measurement complexity. This segmentation enables valid statements about location dependencies across the entire workspace.
Solution Approach 2:
The patent introduces a new dimension to the measurement process by adding time-frequency analysis to the traditional spatial measurements. By determining time-frequency representations of the measured data and analyzing them using image processing algorithms, the system transforms static position-based measurements into dynamic time-frequency maps, enabling comprehensive assessment of dynamic properties across both space and time domains.
2Loss of information
If measurements are performed individually on each axis, then the measurement process is straightforward, but complex cause-and-effect relationships cannot be identified
Solution Approach 1:
The patent merges multiple measurement runs performed at different positions into a single comprehensive time-frequency representation. By combining the data from individual axis measurements across the entire work area and processing them through image processing algorithms, the system identifies complex cause-and-effect relationships that would be invisible in isolated single-position measurements, while managing system complexity through automated processing.
Solution Approach 2:
The patent introduces time-frequency representations as an intermediary between raw measurement data and final diagnostic conclusions. This intermediary layer transforms complex multi-position measurement data into visualizable time-frequency maps that reveal dynamic properties and cause-and-effect relationships, making the analysis more interpretable without requiring direct complex mathematical processing of the raw data.
3Reliability
If only measurements at a few selected positions are performed, then the measurement time is reduced, but global statements about dynamic properties cannot be made
Solution Approach 1:
The patent implements continuous measurement coverage by performing measurement runs over the entire work area of each axis rather than at discrete selected positions. This continuous approach ensures that no region of the workspace is missed, enabling globally valid statements about dynamic properties while the automated time-frequency processing maintains reasonable measurement efficiency.
Data Source
AI summary
A method for determining a dynamic response of a machine having at least one axis, including performing a measurement run for each axis of the machine over an entire work area of each respective axis, capturing and recording data associated with each measurement run, determining a time-frequency representation of recorded data using a data processing unit, and analyzing the time-frequency representation or a related representation using an image processing algorithm.