Lissajous Vibration Analysis for Rotating Device Abnormality Detection
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Solution Overview
Problem
Existing methods for determining abnormality in rotating devices using Lissajous waveform diagrams require time-consuming preparation of reference diagrams and manual comparison, making it difficult to detect unexpected abnormalities.
Innovation Solution
Generate a first Lissajous figure from vibration data and rotate it to create multiple figures, calculating the degree of difference between each figure to identify symmetry changes indicative of normal or abnormal states without pre-stored reference diagrams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reference Lissajous waveform diagrams are prepared in advance for each abnormality cause, then abnormality determination can be performed by comparison, but time and effort are required for preparation and unexpected abnormalities cannot be detected
Solution Approach 1:
The system uses the object's own Lissajous waveform as a reference by rotating it to generate multiple versions. Instead of requiring external pre-prepared reference diagrams for each abnormality type, the method self-generates reference waveforms through rotational transformation, enabling detection of both expected and unexpected abnormalities without time-consuming preparation.
2Measurement precision
If multiple reference Lissajous waveform diagrams are prepared for different abnormality causes, then abnormality cause can be determined by comparison, but the method is complex and cannot handle unexpected abnormalities
Solution Approach 1:
The method dynamically generates reference Lissajous waveform diagrams by rotating the original waveform by various angles (0°, 45°, 90°, 135°, etc.) to create multiple versions. This dynamic approach replaces the need for storing numerous static reference diagrams for different abnormality causes, reducing complexity while maintaining the ability to determine abnormality causes through comparison.
3Loss of information
If Lissajous waveform diagrams are compared manually to determine abnormality causes, then diagnostic information can be obtained, but the process requires significant time and effort
Solution Approach 1:
The system automatically compares the measured Lissajous waveform with multiple rotated reference waveforms and determines the degree of difference, providing objective feedback on abnormality presence and cause. This automated feedback mechanism eliminates manual comparison time while preserving complete diagnostic information through systematic evaluation of waveform differences.
Data Source
AI summary
A signal processing method includes generating a first Lissajous figure based on a physical quantity generated by a vibration of an object, generating second to N-th Lissajous figures by rotating the first Lissajous figure, N being an integer of 2 or more, and calculating an (i−1)-th degree of difference as a degree of difference between the first Lissajous figure and the i-th Lissajous figure with respect to each integer i from 2 to N.


