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A Fault Diagnosis Technique Based on Multi-Domain Features and Reliff-Bayes-Knn

https://doi.org/10.2139/ssrn.4660490
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Intelligent Fault Diagnosis and Prognosis for Engineering Systems
inferredcites →https://doi.org/10.1016/j.apacoust.2020.107645openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apacoust.2022.108899openalex-extracted
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inferredcites →https://doi.org/10.1016/j.dsp.2021.103167openalex-extracted
Permutation entropy-based improved uniform phase empirical mode decomposition for mechanical fault diagnosis
inferredcites →https://doi.org/10.1016/j.eswa.2008.06.073openalex-extracted
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inferredcites →https://doi.org/10.1016/j.eswa.2010.02.118openalex-extracted
Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference
inferredcites →https://doi.org/10.1016/j.eswa.2022.117754openalex-extracted
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
inferredcites →https://doi.org/10.1016/j.jsv.2015.09.016openalex-extracted
A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy
inferredcites →https://doi.org/10.1016/j.measurement.2015.08.034openalex-extracted
A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree
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Application of a new EWT-based denoising technique in bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.physa.2017.08.047openalex-extracted
Refined generalized multiscale entropy analysis for physiological signals
inferredcites →https://doi.org/10.1016/j.ress.2022.109037openalex-extracted
A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine
inferredcites →https://doi.org/10.1023/a:1025667309714openalex-extracted
Theoretical and Empirical Analysis of ReliefF and RReliefF
inferredcites →https://doi.org/10.1049/cje.2018.06.007openalex-extracted
Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG
inferredcites →https://doi.org/10.1088/1742-6596/1345/3/032099openalex-extracted
Fault Diagnosis of Motor Based on VMD-Sample Entropy-Random Forest
inferredcites →https://doi.org/10.1088/1757-899x/1043/3/032017openalex-extracted
An adjustable envelope based EMD method for rolling bearing fault diagnosis
inferredcites →https://doi.org/10.1109/bibe.2013.6701626openalex-extracted
A new algorithm relief hybrid (HRelief) for biological motifs selection
inferredcites →https://doi.org/10.1139/tcsme-2015-0044openalex-extracted
FAULT DIAGNOSIS BASED ON LMD-SVD AND INFORMATION-GEOMETRIC SUPPORT VECTOR MACHINE FOR HYDRAULIC PUMPS
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Physiological time-series analysis using approximate entropy and sample entropy
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Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network
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A comparative study of naive Bayes classifier and Bayes net classifier for fault diagnosis of roller bearing using sound signal
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Feature Selection using ReliefF Algorithm
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Fault Diagnosis Method of Motor Bearing Based on Bayesian Optimized Quadratic Discriminant Analysis
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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
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Analog Circuit Fault Diagnosis Using LDA and OAOSVM Approach
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Fault Diagnosis of Bearing Based on KPCA and KNN Method
inferredcites →https://doi.org/10.5383/juspn.03.01.002openalex-extracted
Embedded Feature Selection using PSO-kNN: Shape-Based Diagnosis of Microcalcification Clusters in Mammography
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