Research on Noise Reduction and Analysis of Reciprocating Friction Vibration Signals Based on the Complementary Ensemble Empirical Mode Decomposition. [PDF]
Yu Y, Wei H, Liu Z.
europepmc +1 more source
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals. [PDF]
Altaf M +5 more
europepmc +1 more source
Vibration signal analysis in comminution
Comminution accounts for a significant part of the energy consumption and metal wear in powder manufacturing industries and as a result, it is a major cost factor. To maintain high efficiency, the operating parameters must be monitored and adjusted promptly to optimal values.
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Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh +4 more
wiley +1 more source
Optimal sinusoidal modelling of gear mesh vibration signals for gear diagnosis and prognosis
Optimal sinusoidal modelling of gear mesh vibration signals for gear diagnosis and ...
Z Man (9858128) +3 more
core
Self-attention enhanced GraphSAGE for UAV fault diagnosis using vibration signals. [PDF]
Ma Y, Sun Y, Chen L, Wang H, Liu B.
europepmc +1 more source
Portable and Non-Intrusive Fill-State Detection for Liquid-Freight Containers Based on Vibration Signals. [PDF]
Song Y, Van Hoecke E, Madhu N.
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Analysis of Transformer Vibration Signal [PDF]
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Wood Cellulosic Membrane With Abundant Nanochannels for Stabilizing Aqueous Zn‐Ion Batteries
A wood‐derived cellulosic membrane separator is developed to suppress dendrite growth in aqueous zinc‐ion batteries. Its aligned nanochannels and hydroxyl‐rich surfaces enable uniform Zn2+ flux, water immobilization, and interfacial stabilization. Zn||Zn cells achieve 1920 h of cycling, Zn||Cu cells maintain 99.5% Coulombic efficiency over 1000 cycles,
Song Wei +8 more
wiley +1 more source
Data-driven predictive maintenance of induction motors using self-supervised and federated learning on noisy current and vibration signals. [PDF]
Gopalakrishnan T +6 more
europepmc +1 more source

