Journal of Vibration Engineering & Technologies

Papers
(The H4-Index of Journal of Vibration Engineering & Technologies is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Applications of Nonlinearity in Passive Vibration Control: A Review99
Condition Monitoring and Fault Diagnosis of Induction Motor63
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms43
Optimum Tuned Inerter Damper for Base-Isolated Structures36
A New Conjugate Gradient Method for Moving Force Identification of Vehicle–Bridge System36
The Dynamic Models, Control Strategies and Applications for Magnetorheological Damping Systems: A Systematic Review35
Vibration Analysis of Rotating Functionally Graded Piezoelectric Nanobeams Based on the Nonlocal Elasticity Theory30
Nonlinear Vibration Control Device for a Vehicle Suspension Using Negative Stiffness Mechanism27
Pelton Wheel Bucket Fault Diagnosis Using Improved Shannon Entropy and Expectation Maximization Principal Component Analysis26
Dynamic Analysis of a Quarter Car Model with Semi-Active Seat Suspension Using a Novel Model for Magneto-Rheological (MR) Damper23
Review on Vibration Analysis of Functionally Graded Material Structural Components with Cracks22
Deep Learning Algorithms for Machinery Health Prognostics Using Time-Series Data: A Review21
Diagnosis and Classification of Diesel Engine Components Faults Using Time–Frequency and Machine Learning Approach21
Static bending and vibration analysis of piezoelectric semiconductor beams considering surface effects19
Augmentation of Decision Tree Model Through Hyper-Parameters Tuning for Monitoring of Cutting Tool Faults Based on Vibration Signatures18
Performance Analysis of a Novel Magnetorheological Damper with Displacement Self-Sensing and Energy Harvesting Capability18
Roller Bearing Fault Diagnosis Based on Integrated Fault Feature and SVM18
Multi-information Fusion Fault Diagnosis Based on KNN and Improved Evidence Theory17
CNC Machine-Bearing Fault Detection Based on Convolutional Neural Network Using Vibration and Acoustic Signal17
Stability of the Dynamical Motion of a Damped 3DOF Auto-parametric Pendulum System17
0.045460939407349