L-Moments Ratio-Based Condition Indicators for Diagnosis of Fault in a Worm Gearbox
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00807-2.pdf
Reference51 articles.
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3. Nie M, Wang L (2013) Review of condition monitoring and fault diagnosis technologies for wind turbine gearbox. Procedia CIRP Elsevier 11:287–290
4. Jena DP, Panigrahi SN, Kumar R (2013) Gear fault identification and localization using analytic wavelet transform of vibration signal. Measurement 46:1115–1124
5. Kumar A, Gandhi CP, Zhou Y, Kumar R, Xiang J (2020) Latest development in gear defect diagnosis and prognosis: a review. Measurement 158:107735
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1. Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy;Knowledge-Based Systems;2023-11
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