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Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations
Health condition identification of planetary gearboxes based on variational mode decomposition and generalized composite multi-scale symbolic dynamic entropy
A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy
Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine
A fault diagnosis approach for roller bearing based on improved intrinsic timescale decomposition de-noising and kriging-variable predictive model-based class discriminate
Application of complete ensemble intrinsic time-scale decomposition and least-square SVM optimized using hybrid DE and PSO to fault diagnosis of diesel engines
Multiresolution Nonsynchronous Entropy: Measurement Approach for Synchronous Series Analysis and its Application in Fault Diagnosis of Rotating Machinery
Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique
Multifractal characterization of bearing fault progression: Persistent-to-anti-persistent dynamics transition and cross-dataset validation of complexity-based features
Understanding perspectives for mixed mode oscillations of the fractional neural network approaches to the analysis of neurophysiological data from the perspective of the observability of complex networks
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem
Incipient fault diagnosis of metro train bearing under strong wheel-rail impact interferences using improved complementary CELMDAN and mixture correntropy-based adaptive feature enhancement
A lightweight CNN-ISO collaborative optimization framework addressing high-dimensional redundancy and class imbalance in rolling bearing fault diagnosis
Unlocking the potential of secure communications: A comprehensive systematic review of the network design model for topology control and routing synergy in wireless sensor networks for prolonged longevity
Hierarchical multiscale permutation entropy-based feature extraction and fuzzy support tensor machine with pinball loss for bearing fault identification
Enhanced hierarchical symbolic dynamic entropy and maximum mean and covariance discrepancy-based transfer joint matching with Welsh loss for intelligent cross-domain bearing health monitoring
A novel feature extraction method based on weighted multi-scale fluctuation based dispersion entropy and its application to the condition monitoring of rotary machines
Digital twin of a pipe conveying fluid: Flow rate anomaly detection and quantification via multi-fidelity Kalman filters and event based cameras signals
Fault detection of rotating machinery based on marine predator algorithm optimized resonance-based sparse signal decomposition and refined composite multiscale fluctuation dispersion entropy
A comprehensive working condition identification scheme for rolling bearings based on modified CEEMDAN as well as modified hierarchical amplitude-aware permutation entropy
Comparative analysis of regression with ARIMA and PI-RNN models for predicting IGBT remaining useful life using switch health index embedding feature reconstruction approach
Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes
Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions
Method for Locating Single-Phase Disconnection Faults in a Smart Distribution System Based on Refined Composite Multiscale Permutation q-Complexity Entropy and Random Forest
Induction Motor Failure Identification Based on Multiscale Acoustic Entropy Feature Selection and Hierarchical Adaptive Neuro-Fuzzy Inference System With Localized Recurrent Input
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
showing the first 200 of 316
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