Abstract
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Zijian Qiao, Ruiqi Wu, Longkai Liu, Kailiang Zhang
Abstract
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Adaptive stepsize forward–backward pursuit and acoustic emission-based health state assessment of high-speed train bearings
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Provenance
crossref
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Stochastic resonance: theory and numerics
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A novel Gaussian neuron discharge network with noise benefits and its application to machine fault diagnosis
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Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery
10.1016/j.chaos.2021.110813 · doi-reference
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex
10.1038/nrn2462 · doi-reference
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics
10.1038/s41467-023-44614-z · doi-reference
Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis
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Using reservoir computing to solve FPK equations for stochastic dynamical systems under Gaussian or non-Gaussian excitation
10.1016/j.matcom.2024.07.024 · doi-reference
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
10.1038/s41467-025-56297-9 · doi-reference
Stochastic resonance in gene transcriptional regulatory system driven by Gaussian noise and Lévy noise
10.1016/j.chaos.2022.113096 · doi-reference
An intelligent fault diagnosis method enhanced by noise injection for machinery
10.1109/tim.2023.3322488 · doi-reference
Applications of stochastic resonance to machinery fault detection: a review and tutorial
10.1016/j.ymssp.2018.12.032 · doi-reference
TFSAF-net: a hybrid network integrating time-frequency spectral feature enhancement and attention for fault diagnosis of rotating machinery
10.1016/j.aei.2025.104262 · doi-reference
Progressive feature enhancement network for surface defect segmentation
10.1109/tetci.2024.3523770 · doi-reference
Research on adaptive local feature enhancement in convolutional neural networks
10.1049/iet-ipr.2020.0591 · doi-reference
Noise robust voice activity detection using joint phase and magnitude based feature enhancement
10.1007/s12652-017-0482-8 · doi-reference
Double attention-guided tree-inspired grade decision network: a method for bearing fault diagnosis of unbalanced samples under strong noise conditions
10.1016/j.aei.2024.103004 · doi-reference
A noise-enhanced feature extraction method combined with tunable Q-factor wavelet transform and its application to planet-bearing fault diagnosis
10.1016/j.apacoust.2025.110845 · doi-reference
AI-enabled defect detection in industrial products: a comprehensive survey, key insights and future research challenges
10.1016/j.aei.2025.104067 · doi-reference
A multi-scale attention fusion framework based on KAN for rolling mill fault diagnosis
10.1016/j.ymssp.2026.113931 · doi-reference
Sifting process of EMD and its application in rolling element bearing fault diagnosis
10.1007/s12206-009-0438-9 · doi-reference
A novel simultaneous diagnosis method for IGBT open-circuit faults and current sensor faults of three-phase SPWM inverter
10.1109/tpel.2025.3550582 · doi-reference
Positive-incentive noise in artificial intelligence-enabled machine fault diagnosis
10.1177/14759217251370358 · doi-reference
Advances and challenges in the hunting instability diagnosis of high-speed trains
10.3390/s24175719 · doi-reference
Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery
10.1007/s11071-023-08248-6 · doi-reference
M4oE: a multitask multi-input multiscale mixture-of-experts method for multisensor fusion diagnosis
10.1109/jiot.2026.3668199 · doi-reference