The latest issue presents a diverse collection of papers covering various aspects of vibroengineering and its applications. The papers delve into a wide range of topics, including music genre recognition using deep learning algorithms, circuit fault diagnosis in switching power supplies, dynamic characteristics of flexible arms with moving mass, uncertainty vibration analysis in cylindrical shell structures, and improved shifting techniques in automotive mechanical transmissions.
The Editor's Pick focuses on sensitivity analysis of numerical model parameters for optimized PEH responses. Additionally, the issue explores the use of piezoelectric energy harvesting systems for powering wearable devices, investigates the impact of blasting vibrations on adjacent slopes in mining operations, and examines dynamic obstacle avoidance and trajectory planning in industrial manipulators. Other papers delve into scuffing failure analysis in gear tooth pairs, optimization of piezoelectric harvester designs, preloading effects in hydraulic press frame parts, and downhill regenerative braking control in hybrid electric vehicles.
Overall, the papers contribute to the advancement of vibroengineering by providing novel methodologies, insights, and design considerations for various applications. From enhancing music genre recognition and fault diagnosis techniques to improving system stability, safety, and performance, the research in this issue addresses important challenges and offers valuable contributions to the field of vibroengineering.
