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https://doi.org/10.2139/ssrn.4611915

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-extracted
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/s40997-018-0217-2openalex-extracted
Performance Analysis of a Conical Hydrodynamic Journal Bearing
inferredcites →https://doi.org/10.1016/c2011-0-04529-5openalex-extracted
Mechanical Design Engineering Handbook
inferredcites →https://doi.org/10.1016/j.engappai.2003.09.006openalex-extracted
Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
inferredcites →https://doi.org/10.1016/j.eswa.2010.07.119openalex-extracted
Fault diagnosis of ball bearings using machine learning methods
inferredcites →https://doi.org/10.1016/j.measurement.2014.01.018openalex-extracted
Misfire detection in an IC engine using vibration signal and decision tree algorithms
inferredcites →https://doi.org/10.1016/s0167-8922(01)80103-6openalex-extracted
Wear of hydrodynamic journal bearings
inferredcites →https://doi.org/10.1109/iciea.2014.6931525openalex-extracted
An improved GA-SVM algorithm
inferredcites →https://doi.org/10.1109/jsen.2017.2726011openalex-extracted
Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests
inferredcites →https://doi.org/10.1109/tie.2008.2007527openalex-extracted
Advances in Diagnostic Techniques for Induction Machines
inferredcites →https://doi.org/10.1109/tii.2013.2243743openalex-extracted
From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
inferredcites →https://doi.org/10.1109/tsmcc.2013.2257752openalex-extracted
Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals
inferredcites →https://doi.org/10.1186/s13048-022-00994-2openalex-extracted
Clinical analysis and artificial intelligence survival prediction of serous ovarian cancer based on preoperative circulating leukocytes
inferredcites →https://doi.org/10.1186/s41601-017-0063-zopenalex-extracted
k-NN based fault detection and classification methods for power transmission systems
inferredcites →https://doi.org/10.1201/9780203909072openalex-extracted
Bearing Design in Machinery
inferredcites →https://doi.org/10.32604/sdhm.2019.03014openalex-extracted
Comparative Study on Tree Classifiers for Application to Condition Monitoring of Wind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach
inferredcites →https://doi.org/10.3390/informatics7010004openalex-extracted
Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.986-987.1491openalex-extracted
Fault Diagnosis of Bearing Based on KPCA and KNN Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5937/fme2503401jopenalex-snapshot
Wear fault diagnosis in journal bearings using vibration analysis and AI
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