[HTML][HTML] A Fourier-based explanation of 1D-CNNs for machine condition monitoring applications

P Borghesani, N Herwig, J Antoni, W Wang - Mechanical Systems and …, 2023 - Elsevier
Neural networks (NN) have generated extensive interest in the field of machine condition
monitoring (MCM). Many applications are however adapting structures and approaches from …

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary version PM1. 0

MR Salmanpour, S Amiri, S Gharibi… - arxiv preprint arxiv …, 2024 - arxiv.org
This study investigates the connection between visual semantic features in PI-RADS and
associated risk factors, moving beyond abnormal imaging findings by creating a …

Interpretable fusion methodology of health indices with an application to industrial turbine cavitation condition monitoring

Y Fu, Y Chen, D Wang, Z Peng - … Transactions of the …, 2024 - royalsocietypublishing.org
Using health indices (HIs) to characterize machine conditions is greatly helpful to prevent
machine failures and their subsequent catastrophe. Fusion and interpretation of the main …

Estimation and interpretation of interfacial bond in concrete-filled steel tube by using optimized XGBoost and SHAP

H Sheng, Z Ren, D Wang, Q Li, P Li - Structures, 2024 - Elsevier
In view of the difficulty in establishing an accurate mathematical model to characterize the
interfacial bond strength in concrete-filled steel tube (CFST), the'eXtreme Gradient …

Sum Standard Deviation of Frequency–A Context Independent Machine Condition Trend Indicator

S Feng, JPT Mo - Digital Manufacturing Technology, 2023 - ojs.wiserpub.com
Abstract In Industry 4.0, multiple research subjects have been involved in processing
enormous information generated during the manufacturing process. Meanwhile, they all …