LPF/OGS: A Low-Pass Filtering and Overlapping Group Shrinkage Denoising Method for Diesel Engine Fault Diagnosis

Tool Wear State Recognition with Deep Transfer Learning Based on Spindle Vibration for Milling Process

Effect of C60 Nanoparticle Cutting Fluid on Cutting Characteristics of 15Cr14Co12Mo5Ni2WA Gear Steel

Cutting force model of milling titanium alloy with C60 nanofluid minimum quantity lubrication

Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition

Remaining useful life prediction of circuit breaker operating mechanisms based on wavelet-enhanced dual-tree residual networks

A Novel Motor Fault Diagnosis Method Based on Generative Adversarial Learning with Distribution Fusion of Discrete Working Conditions

A Time-Series Driven Mechanical System State Description Method and Its Application in Condition Monitoring

Intelligent Tool Condition Monitoring Based on Multi-Scale Convolutional Recurrent Neural Network

Edge-cloud collaborative transfer of process knowledge for digital manufacturing monitoring

An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions

Group-Sparse Feature Extraction via Ensemble Generalized Minimax-Concave Penalty for Wind-Turbine-Fault Diagnosis

An effective sparsity evaluation criterion for power-line interference suppression of EEG signal

Application of lifting wavelet fractal strategy in feature extraction of motor bearing electrolytic corrosion fault

Segmentation and quantitative evaluation for tool wear condition via an improved SE-U-Net

Machine Learning Based Quantitative Damage Monitoring of Composite Structure

Crack detection in concrete slabs by graph-based anomalies calculation

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

Unsupervised learning-driven intelligent fault diagnosis algorithm for high-end bearing

Unsupervised Defect Segmentation of Magnetic Tile Based on Attention Enhanced Flexible U-Net

Automatic Seizure Classification Based on Domain-Invariant Deep Representation of EEG

Ultra-Resolution Spectral Correction Based on Adaptive Linear Neuron for Biomedical Signal Processing

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

GMC sparse enhancement diagnostic method based on the tunable Q-factor wavelet transform for detecting faults in rotating machines

Recovery of undersampled force measurement from high-speed milling process using approximate sparsity in frequency domain

Hankel Matrix-Based Condition Monitoring of Rolling Element Bearings: An Enhanced Framework for Time-Series Analysis

Study on Dispersion Stability and Friction Characteristics of C60 Nanomicrosphere Lubricating Additives for Improving Cutting Conditions in Manufacturing Process

A two-stage method for bearing fault detection using graph similarity evaluation

A two-stage vision-based method for measuring the key parameters of ball screws

Recovery of Under-sampled Signal during Highspeed Machining Condition Monitoring Using Approximate Sparsity in Frequency Domain

A deep domain adaption model with multi-task networks for planetary gearbox fault diagnosis

Dynamic grinding force model for carbide insert peripheral grinding based on grain element method

An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks

The Vibration of a Transversely Cracked Rotor Supported by Anisotropic Journal Bearings with Speed-Dependent Characteristic

A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system

Sparsity promoted dictionary using topological fractal multi-resolution and its applications in mechanical fault detection

Novel laser triangulation measurement method for screw rotor profile under multi-factor constraints

A novel engagement-pixel image edge tracking method for extracting gear tooth profile edge

Milling process simulation for the variable pitch cutter based on an integrated process-machine model

Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks

Adaptive filtering enhanced windowed correlated kurtosis for multiple faults diagnosis of locomotive bearings

Fractal geometry of wavelet decomposition in mechanical signature analysis

Domain-adaptive intelligence for fault diagnosis based on deep transfer learning from scientific test rigs to industrial applications

Sparsity-induced resonance demodulation method for blade crack detection

Enhancement of fault feature extraction from displacement signals by suppressing severe end distortions via sinusoidal wave reduction

An Intelligent Milling Tool Wear Monitoring Methodology Based on Convolutional Neural Network with Derived Wavelet Frames Coefficient

Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification

Multi-Faults Diagnosis of Rotating Bearings Using Flexible Time-Frequency Analysis Technique

3D Reconstruction of Rotating Objects Based on Line Structured-Light Scanning

Fractal Lifting Wavelets for Machine Fault Diagnosis

Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases

Atrial Fibrillation Detection Using an Improved Multi-Scale Decomposition Enhanced Residual Convolutional Neural Network

ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

Centralized Wavelet Multiresolution for Exact Translation Invariant Processing of ECG Signals

A novel engagement-pixel tracking method for meshing clearance layout of twin-screw rotors

Removal of Power Line Interference From ECG Signals Using Adaptive Notch Filters of Sharp Resolution

Isolation and identification of compound faults in rotating machinery via adaptive deep filtering technique

Sparsity Enhanced Topological Fractal Decomposition for Smart Machinery Fault Diagnosis

Graphene as beneficial additive to water based semisynthetic cutting fluid for improving friction condition between materials of carbide and steel

Control of steering wheel idle jitter based on optimization of engine suspension system with verifications using multi-sensor measurement

Enhancement of fault vibration signature analysis for rotary machines using an improved wavelet-based periodic group-sparse signal estimation technique

Noncontact Surface Roughness Estimation Using 2D Complex Wavelet Enhanced ResNet for Intelligent Evaluation of Milled Metal Surface Quality

Surface reconstruction based on the camera relative irradiance

Sparsity-based signal extraction using dual Q-factors for gearbox fault detection

Health state monitoring of bladed machinery with crack growth detection in BFG power plant using an active frequency shift spectral correction method

An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network

An Independent Internal Cooling System for Promoting Heat Dissipation during Dry Cutting with Numerical and Experimental Verification

Complex wavelet enhanced shape from shading transform for estimating surface roughness of milled mechanical components

Wavelet based spectral kurtosis and kurtogram: A smart and sparse characterization of impulsive transient vibration

Detection of faults in rotating machinery using periodic time-frequency sparsity

Improved ensemble superwavelet transform for vibration-based machinery fault diagnosis

Majorization minimization oriented sparse optimization method for feature extraction technique in machinery fault diagnosis

Manifold learning-based subspace distance for machinery damage assessment

Simulation of surface topography considering process-machine interaction in grinding

Periodic sparsity oriented super-wavelet analysis with application to motor bearing fault detection of wind turbine

Customized maximal-overlap multiwavelet denoising with data-driven group threshold for condition monitoring of rolling mill drivetrain

Path planning for intelligent robot based on switching local evolutionary PSO algorithm

Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis

Thermo-mechanical properties of bowl-shaped grinding wheel and machining error compensation for grinding indexable inserts

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform

Study of underwater target recognition for torpedo electromagnetic fuse with high detecting precision

A Novel Rotor Profile Error Tracing and Compensation Strategy for High Precision Machining of Screw Rotor Based on Trial Cutting of Limited Samples

Theoretical Analysis and Experimental Verification of Particle Damper-Based Energy Dissipation with Applications to Reduce Structural Vibration

Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented Carbide Indexable Inserts

Weak fault signature extraction of rotating machinery using flexible analytic wavelet transform