AutoML for feature selection and model tuning applied to fault severity diagnosis in spur gearboxes

M Cerrada, L Trujillo, DE Hernández… - Mathematical and …, 2022 - mdpi.com
Gearboxes are widely used in industrial processes as mechanical power transmission
systems. Then, gearbox failures can affect other parts of the system and produce economic …

Systematic Review of Bearing Component Failure: Strategies for Diagnosis and Prognosis in Rotating Machinery

KK Raj, S Kumar, RR Kumar - Arabian Journal for Science and …, 2024 - Springer
The rapid advancement of industrial technologies has underscored the importance of
effective diagnosis and prognosis in equipment maintenance to ensure safe operations. This …

Enhancing Reliability of Steel Production Lines Through Advanced Knowledge Graph-Based Fault Diagnosis Model

H Han, J Wang, X Wang - IEEE Transactions on Reliability, 2024 - ieeexplore.ieee.org
Reliability in steel production lines is critical for maintaining operational efficiency, ensuring
product quality, and minimizing downtime. The potential failure of any equipment can …

CONDITION MONITORING OF ROLLER BEARING USING ENHANCED DEMPSTER/SHAFER EVIDENCE THEORY

X Zhu, M Huang, K Chen - Facta Universitatis, Series …, 2023 - casopisi.junis.ni.ac.rs
According to the generalized Jaccard coefficient and false degree, an improved approach is
proposed by incorporating Dempster-Shafer proofs for determining the level of confidence in …

[引用][C] Diagnostic method of bearing failure based on generalised Jaccard coefficient and false degree melting

MC Huang, K Chen, JB Xiong - International Journal of Innovative Application on …, 2022