Efficient gear fault feature selection based on moth‑flame optimisation in discrete wavelet packet analysis domain
Rotating machinery—a crucial component in modern industry, requires vigilant monitoring such that any potential malfunction of its electromechanical systems can be detected prior to a fatal breakdown. However, identifying faulty signals from a defective rotating machinery is challenging due to com...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2019
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2301/1/AJ%202019%20%2810%29.pdf http://eprints.uthm.edu.my/2301/ https://doi.org/10.1007/s40430-019-1768-x |
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