Oct 18, 2023 · This work investigates the fault diagnosis of bearing based on vibration signals, and an image-based deep learning method is proposed.
Oct 18, 2023 · This work investigates the fault diagnosis of bearing based on vibration signals, and an image-based deep learning method is proposed, in which ...
On fault diagnosis using image-based deep learning networks based on vibration signals · Zhenxing Ren, Jianfeng Guo · Published in Multim. Tools Appl. 18 October ...
Ahmed HOA, Nandi AK (2021) Connected components-based colour image representations of vibrations for a two-stage fault diagnosis of roller bearings using ...
Oct 1, 2024 · An intelligent fault diagnosis framework is developed based on vibration image encoding and multi-scale neural networks.
Deep learning-based fault diagnosis of rolling bearings is a hot research topic, and a rapid and accurate diagnosis is important.
Oct 9, 2022 · This review documents data-driven and recently published deep learning techniques for vibration-based condition monitoring.
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In this work, the fault diagnosis is formulated as an image classification problem and solved with deep learning networks. The intrinsic mode functions (IMFs), ...
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals.
May 16, 2023 · This study proposed a novel deep-learning-enabled method for fault diagnosis of dry-type transformers using vibration signals.