Friction, Vibration and Dynamic Properties of Transmission System under Wear Progression / / by Ke Feng, Jinde Zheng, Qing Ni (editors).

• TeilnehmendeR: Feng, Ke,; Zheng, Jinde,; Ni, Qing,
• Place / Publishing House: [Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (196 pages)

This reprint focuses on wear and fatigue analysis, the dynamic properties of coating surfaces in transmission systems, and non-destructive condition monitoring for the health management of transmission systems. Transmission systems play a vital role in various types of industrial structure, including wind turbines, vehicles, mining and material-handling equipment, offshore vessels, and aircrafts. Surface wear is an inevitable phenomenon during the service life of transmission systems (such as on gearboxes, bearings, and shafts), and wear propagation can reduce the durability of the contact coating surface. As a result, the performance of the transmission system can degrade significantly, which can cause sudden shutdown of the whole system and lead to unexpected economic loss and accidents. Therefore, to ensure adequate health management of the transmission system, it is necessary to investigate the friction, vibration, and dynamic properties of its contact coating surface and monitor its operating conditions.

Table of Contents

About the Editors vii -- Vibration-Based System Degradation Monitoring under Gear Wear Progression 1 -- A Dynamic Wear Prediction Model for Studying the Interactions between Surface Wear and Dynamic Response of Spur Gears 5 -- A FCEEMD Energy Kurtosis Mean Filtering-Based Fault Feature Extraction Method 19 -- Fault Diagnosis of Check Valve Based on KPLS Optimal Feature Selection and Kernel Extreme Learning Machine 43 -- Design, Optimization and Cutting Performance Evaluation of an Internal Spray Cooling -- Turning Tool 61 -- Multisensor Feature Fusion Based Rolling Bearing Fault Diagnosis Method 75 -- Research on Fault Feature Extraction Method Based on Parameter Optimized Variational Mode Decomposition and Robust Independent Component Analysis 87 -- A Fault Feature Extraction Method Based on LMD and Wavelet Packet Denoising 117 -- A Fault Diagnosis Method Based on EEMD and Statistical Distance Analysis 133 -- Sliding Dispersion Entropy-Based Fault State Detection for Diaphragm Pump Parts 143 -- Dynamic Modeling and Simulation Analysis of Inter-Shaft Bearings with Local Defects Considering Elasto-Hydrodynamic Lubrication 161.