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An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-1025-2openalex-snapshot
The Mathematics of Nonlinear Programming
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1016/0022-460x(85)90256-1openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.amc.2006.08.020openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.enconman.2009.03.009openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2005.12.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2009.11.038openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2009.12.051openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2010.02.118openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2011.06.023openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.measurement.2011.06.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.patrec.2009.07.022openalex-snapshot
IP-LSSVM: A two-step sparse classifier
inferredcites →https://doi.org/10.1016/j.physd.2006.02.008openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.scient.2011.03.007openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2004.01.006openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2009.11.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2010.07.019openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2011.06.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0022-460x(78)80044-3openalex-snapshot
Varying compliance vibrations of rolling bearings
inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot
Least Squares Support Vector Machine Classifiers
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
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inferredcites →https://doi.org/10.1098/rsta.1909.0016openalex-snapshot
XVI. Functions of positive and negative type, and their connection the theory of integral equations
inferredcites →https://doi.org/10.1109/icec.1998.699146openalex-snapshot
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inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/mop.33115openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-94892-3_60openalex-snapshot
Fault Analysis of Bearing Outer Ring Based on Bispectral Binary Characteristics and FCM Method
inferred← citeshttps://doi.org/10.1007/978-3-319-61845-6_44openalex-snapshot
A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-39348-8_52openalex-snapshot
Artificial Neural Networks-Based Decoupling Approach in the Vector Control Block of the Single-Phase Induction Machine
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inferred← citeshttps://doi.org/10.1007/978-981-13-2291-4_42openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00170-021-08047-6openalex-snapshot
Technology development and commercial applications of industrial fault diagnosis system: a review
inferred← citeshttps://doi.org/10.1007/s10064-015-0741-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11015-016-0205-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-020-10300-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11431-014-5699-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-019-0604-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-021-0101-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-021-0417-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00006-4openalex-snapshot
Fault Diagnosis and Fault-Tolerant Control of Helicopters
inferred← citeshttps://doi.org/10.1016/j.apacoust.2014.08.016openalex-snapshot
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
inferred← citeshttps://doi.org/10.1016/j.apm.2014.10.065openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compind.2019.05.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enconman.2015.05.065openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.epsr.2019.04.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2018.05.032openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2016.01.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isatra.2019.01.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jcde.2017.05.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jclepro.2016.12.071openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jsv.2017.08.043openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109990openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2015.08.019openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2016.01.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2020.108067openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2020.108488openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.molliq.2024.124390openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2015.01.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2017.02.042openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2017.06.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2015.07.073openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sigpro.2025.110266openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2015.11.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2016.02.031openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2018.02.016openalex-snapshot
Artificial intelligence for fault diagnosis of rotating machinery: A review
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109833openalex-snapshot
Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112451openalex-snapshot
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inferred← citeshttps://doi.org/10.1029/2021jd034925openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/matecconf/20167701024openalex-snapshot
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inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000607openalex-snapshot
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inferred← citeshttps://doi.org/10.1061/jbenf2.beeng-7128openalex-snapshot
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inferred← citeshttps://doi.org/10.1061/jtepbs.0000010openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/01430750.2022.2056917openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0957-0233/25/2/025003openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/aa53a0openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2018.2873782openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ccdc.2018.8407551openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/roedunet51892.2020.9324855openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2019.2900479openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/urai.2013.6677339openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wcica.2014.7053002openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2015/847802openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2016/5132046openalex-snapshot
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