Search Results - "Rotating machinery"

Experimental and computational investigation of fault diagnosis of unbalance mass in rotating machinery.

Authors: Desai, Jash Salla, Pravin Chawde, Dinesh et al.

Source: Noise & Vibration Worldwide. Apr/May2026, Vol. 57 Issue 4/5, p331-345. 15p.

Subjects: Fault diagnosis, Rotating machinery, Finite element method, Machine dynamics, Mechanical vibration research, Condition-based maintenance

Continuation‐Enhanced Harmonic Balance Method for Nonlinear Dynamics in Rotating Machinery.

Authors: Umar, Muhammad Nutakor, Charles Sopanen, Jussi et al.

Source: Shock & Vibration. 4/25/2026, Vol. 2026, p1-21. 21p.

Subjects: Rotating machinery, Continuation methods, Iterative methods (Mathematics), Nonlinear mechanics, Stability theory, Duffing equations, Fluid-film bearings

Magnetically Repulsive Cushion Triboelectric Nanogenerator for Rotating Machinery Structural Health Monitoring.

Authors: Peng, Haojie Wu, Yufen Li, Yanling et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3587. 25p.

1dCMPR-BiSEnet: A Method for Bearing Fault Diagnosis Based on Acoustic Signals.

Authors: Liu, Qiang Fu, Jiahui Huang, Huiyuan et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4808, 25p

Comparative Study on Cavitation Characteristics and Mechanisms of the NACA0015 Hydrofoil under Rotating and Stationary Conditions.

Authors: Bao, J. Zhao, W. Zhang, J. et al.

Source: Journal of Applied Fluid Mechanics; May2026, Vol. 19 Issue 5, p1143-1157, 15p

Multi-Stage Robust Bayesian High-Resolution Identification of Asynchronous Blade Vibrations Using Blade Tip Timing.

Authors: Zhang, Qinglei Chen, Xiwen

Source: Entropy. May2026, Vol. 28 Issue 5, p505. 22p.

Reliability Analysis of Turbine Blade–Disk Dovetail Joints Considering Failure Correlation.

Authors: Wang, Shaohua Yuan, Hua Liu, Xi et al.

Source: Crystals (2073-4352); Apr2026, Vol. 16 Issue 4, p257, 32p

A Multimodal Time-Frequency Fusion Architecture for Fault Diagnosis in Rotating Machinery.

Authors: Wang, Hui Wu, Congming Jiang, Yong et al.

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3269, 35p

Novel Technology for Unbalance Diagnosis for Dual-Speed Wind Turbines.

Authors: Askari, Amir R. Gelman, Len King, Russell et al.

Source: Sensors (14248220). Apr2026, Vol. 26 Issue 7, p2268. 16p.

Design and Experiment of Compact Rotary MCR-WPT Coils at MHz Band.

Authors: Chen, Kunming Li, Yanhong Dai, Caiyun et al.

Source: Progress in Electromagnetics Research C. 2026, Vol. 170, p28-37. 10p.

Subjects: Wireless power transmission, Rotating machinery, Electromagnets, Resonators

RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE FOR CONDITION MONITORING OF ROTATING MACHINERY.

Authors: FILLEMON, Frieda OHIJEAGBON, Idehai O. SAINI, Surendra K.

Source: Acta Technica Corviniensis - Bulletin of Engineering. Jan-Mar2026, Vol. 19 Issue 1, p77-86. 10p.

Subjects: Artificial intelligence, Rotating machinery, Condition-based maintenance, Machine learning, Fault diagnosis, Deep learning, Digital twin

Anomaly detection in rotating machinery via active learning of unlabeled vibration samples.

Authors: Li, Gang Hou, Xiange Zhang, Qing

Source: Journal of Vibroengineering. Mar2026, Vol. 28 Issue 2, p240-255. 16p.

Subjects: Rotating machinery, Mechanical vibration research, Deep learning, Fault diagnosis, Entropy (Information theory), Sampling methods, Hierarchical clustering (Cluster analysis)

Remaining Useful Life Prediction for Rotating Machinery via Multi-Graph-Based Spatiotemporal Feature Fusion.

Authors: Cao, Xiangang Gao, Chenjian Zhang, Xinyuan

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p2738, 18p

Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets.

Authors: Ignjatovska, Anastasija Angjusheva Petreski, Zlatko Gavriloski, Viktor et al.

Source: Sensors (14248220). Mar2026, Vol. 26 Issue 6, p1876. 36p.

Uncertainty-aware order tracking using interval-valued spectral estimators.

Authors: Mohammad, Suleiman Ibrahim Yogeesh N. Abdullah, Mustafa et al.

Source: Sound & Vibration; 2026, Vol. 60 Issue 2, p1-20, 20p

Research on Improved Transformer Fault Diagnosis Method Driven by IBKA-VMD and Hierarchical Fractional Order Attention Entropy Synergy.

Authors: Yang, Jingzong Li, Xuefeng Mao, Min

Source: Fractal & Fractional. Mar2026, Vol. 10 Issue 3, p195. 39p.

Physics-informed self-supervised diagnosis of rotating machinery using latent ODEs and transformer encoders.

Authors: Amin, Md Al Ahsan, Mohammad Shafat Maua, Jannatul et al.

Source: PLoS ONE. 2/2/2026, Vol. 21 Issue 2, p1-22. 22p.

Fluid–Structure Interaction Study of S-CO 2 Radial Hydrodynamic Lubricated Bearings Under Different Rotational Speeds.

Authors: Niu, Chengtao Lyu, Sung-Ki Wu, Yu-Ting et al.

Source: Coatings (2079-6412); Feb2026, Vol. 16 Issue 2, p182, 18p

Predictive vibration diagnostics of helicopter rotating units in field conditions.

Authors: Mironov, Aleksey Chate, Andris Doronkin, Pavel et al.

Source: Journal of Vibroengineering; Feb2026, Vol. 28 Issue 1, p61-81, 21p

Selective Adversarial Augmentation Network for Bearing Fault Diagnosis with Partial Domain Adaptation.

Authors: Li, Xiaofang Lei, Chunli Bai, Xiang et al.

Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1634, 27p