An Intelligent Fault Diagnosis Method of Multi|Scale Deep Feature ...

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature ...

This paper proposes a multi-scale deep feature fusion intelligent fault diagnosis method based on information entropy.

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature ...

This paper proposes a multi-scale deep feature fusion intelligent fault diagnosis method based on information entropy. First, a normal autoencoder, denoising ...

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature ...

weak fault classification capability. This paper proposes a multi-scale deep feature fusion intelligent fault diagnosis method based on information entropy.

(PDF) An Intelligent Fault Diagnosis Method of Multi-Scale Deep ...

A deep feature fusion strategy based on information entropy is proposed to obtain low-dimensional features and ensure the robustness of the model and the ...

A novel intelligent fault diagnosis method for gearbox based on multi ...

These data are not only contaminated by various types of noise but also exhibit fault features that vary across different scales. Consequently, ...

A novel intelligent fault diagnosis method for gearbox based on multi ...

In recent years, significant progress has been made in applying deep learning to fault diagnosis in rotating machinery. For instance, Chen et al ...

An intelligent fault diagnosis for machine maintenance using ...

Hybrid multi-scale block is constructed. ... Weighted soft-voting rule of decision fusion strategy is proposed. ... Fault diagnosis method driven by multi-scale ...

Fault Diagnosis Method and Application Based on Multi-scale ...

PurposeThe mechanical fault diagnosis method based on deep learning mainly uses single-scale convolution kernels to extract fault features, ...

A novel intelligent fault diagnosis method of rolling bearing based ...

In this paper, the Two-Stream Feature Fusion Convolutional Neural Network (TSFFCNN) is established. In-depth features are extracted from the proposed parallel ...

Intelligent Fault Diagnosis Method through ACCC-Based Improved ...

As a machine learning model under deep supervised learning, CNN has strong adaptability. It is good at mining local features of data and extracting global ...

A novel intelligent fault diagnosis method of bearing based on multi ...

Deep learning (DL) has been widely used in bearing fault diagnosis. In particular, convolutional neural networks (CNNs) improve diagnosis ...

Convolutional neural network intelligent fault diagnosis method for ...

Compared with the single CNN network, the proposed method combines the multi-domain multi-scale feature extraction module with the DCA feature ...

A novel intelligent fault diagnosis method based on dual ...

This approach realizes multi-level fusion of fault information by utilizing the flexibility of the structure of the convolutional neural network ...

A Deep Multi-Label Learning Framework for the Intelligent Fault ...

In the intelligent fault diagnosis methods based on deep learning, feature learning and fault recognition are achieved by solving a multi ...

Intelligent fault diagnosis of machinery based on hybrid deep ...

To address the issue, this paper proposes a novel multi-temporal correlation feature fusion net (MTCFF-Net) for intelligent fault diagnosis, ...

Deep Learning Techniques in Intelligent Fault Diagnosis and ... - MDPI

In [45], a sparse AE is designed to automatically extract degradation indicators for followed fault detection in multi-component system. Ref. [46] use multi- ...

Intelligent fault diagnosis of rotating machinery based on deep ...

A novel intelligent fault diagnosis method based on feature selection and deep learning is proposed for rotating machine mechanical in the paper.

Table 3 The main parameters of the proposed method

feature fusion intelligent fault diagnosis method ... From: An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy ...

Intelligent fault diagnosis of rolling bearing using one-dimensional ...

The proposed MS-DCNN model could broaden and deepen the neural networks to learn better and more robust feature representations owing to multi-scale ...

Multi-model ensemble deep learning method for intelligent fault ...

Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years. However, many deep learning methods cannot fully extract ...