Feb 19, 2024 ¡¤ This study proposes a novel framework for bearing defect diagnostics by merging dilated residual convolutional neural networks and attention mechanisms.

Dec 15, 2023 ¡¤ An intelligent fault diagnosis model is developed using CNN and the proposed CEEMDAN to enhance rolling bearing state recognition.

Jan 25, 2024 ¡¤ This paper proposes an aircraft engine fault diagnosis model based on 1DCNN-BiLSTM with CBAM. The model can be directly applied to raw monitoring data.

Aug 15, 2024 ¡¤ This research introduces an innovative fault diagnosis methodology for rolling bearings using deep convolutional neural networks (CNNs) enhanced with ...

Mar 3, 2024 ¡¤ This study introduces an intelligent gear fault diagnosis system employing a convolutional neural network (CNN), utilizing vibration and thermal features.

May 10, 2024 ¡¤ Based on BLS and CNN, the proposed BLSCNN fault diagnosis model involves the mapping of raw current signals by BLS, generating new representations of samples in ...

Aug 5, 2024 ¡¤ Integrating traditional signal processing methods with machine learning models can embed specific fault characteristic knowledge and causal links into the.

2 days ago ¡¤ This study proposes an improved few-shot learning model of the Siamese network residual Visual Geometry Group (VGG). This model combined with time–frequency ...

May 9, 2024 ¡¤ This paper presents possibilities of detecting supply voltage unbalance condition in induction motor using machine learning algorithms.

Nov 27, 2023 ¡¤ More specifically, this paper adopts the data-driven approach and uses bearing fault vibration data provided by Case Western Reserve University (CWRU) [9].