As an important structural form in the fields of architecture and mechanics, the accurate identification of damage in frame structures is crucial for ensuring operational safety. The recurrence plot (RP) of structural responses can finely characterize the recurrence characteristics of structural damage features in the...
Ensuring the safety and reliability of hydrogen storage systems requires a detailed understanding of damage evolution in composite pressure vessels (CPVs). These structures experience complex degradation processes during service, which makes damage assessment particularly challenging. Acoustic emission (AE) monitoring...
Rolling bearings are among the most critical components in rotating machinery, and their reliable condition assessment is essential for preventing unexpected failures and enabling predictive maintenance strategies. In this study, a lightweight and automated methodology is proposed for bearing Fault Detection (FD) and F...
Quadrotor unmanned aerial vehicles (UAVs) are increasingly deployed in industrial and agricultural operations, where structural integrity and flight stability are critical. Minor mechanical defects, such as small propeller bends and chips, can cause subtle vibration irregularities that are difficult to detect using con...
To address the challenges of easily confused weak boundary mechanisms and the difficulty in accurately and automatically identifying damage in composite materials under cumulative damage acoustic emission signal classification, this paper employs UMAP dimensionality reduction on the extracted time-frequency-wavelet pac...
A method based on refined composite multi-scale attention entropy (RCMAE) and Beluga whale optimization (BWO) for multi-classification support vector machines (SVM) to solve problems of poor feature discriminability and blind parameter selection in traditional fault diagnosis is proposed.
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