Gear Fault Feature Extraction Based on Fuzzy Function and Improved Hu Invariant Moments
To intelligently identify gear fault types on the basis of gear vibration signals, due to the non-linear and non-stationary characteristics of gear vibration signals, a fuzzy function is used to represent the gear vibration signals in different states as two-dimensional time-frequency images. To sol...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9026902/ |