Results 11 to 20 of about 8,705 (267)
A Survey on Fault Diagnosis of Rolling Bearings
Algorithms, 2022 The failure of a rolling bearing may cause the shutdown of mechanical equipment and even induce catastrophic accidents, resulting in tremendous economic losses and a severely negative impact on society. Fault diagnosis of rolling bearings becomes an important topic with much attention from researchers and industrial pioneers.
Bo Peng +4 more
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Color Recurrence Plots for Bearing Fault Diagnosis
Sensors, 2022 This paper presents bearing fault diagnosis using the image classification of different fault patterns. Feature extraction for image classification is carried out using a novel approach of Color recurrence plots, which is presented for the first time.
Vilma Petrauskiene +4 more
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Bearing fault diagnosis by EXIN CCA [PDF]
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 EXIN CCA is an extension of the Curvilinear Component Analysis (CCA), which solves for the noninvariant CCA projection and allows representing data drawn under different operating conditions. It can be applied to data visualization, interpretation (as a kind of sensor of the underlying physical phenomenon) and classification for real time industrial ...
Cirrincione,, Giansalvo +3 more
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HUST bearing: a practical dataset for ball bearing fault diagnosis
BMC Research Notes, 2023 AbstractObjectivesThe rapid growth of machine learning methods has led to an increase in the demand for data. For bearing fault diagnosis, the data acquisition is time-consuming with complicated processes. Existing datasets are only focused on only one type of bearing, which limits real-world applications.
Nguyễn Đức Thuận, Hoang Si Hong
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An Explainable AI-Based Fault Diagnosis Model for Bearings [PDF]
Sensors, 2021 In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with five stages, i.e., (1) a data preprocessing method based on the Stockwell Transformation Coefficient (STC) is proposed to analyze the vibration signals for variable speed and load conditions, (2) a statistical feature extraction method is introduced to capture ...
Md Junayed Hasan +2 more
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Fault Diagnosis of Bearings With the Common-Domain Data
IEEE Access, 2022 Rolling element bearings are one of the important components in rotating machines. Therefore, many studies on bearing diagnosis have been conducted with artificial intelligence (AI) to do maintenance on the machines on time. In general, AI successfully diagnoses the defects of bearing when it is trained with the sufficient data of a specific machine ...
Taeyun Kim, Jangbom Chai
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A Siamese Vision Transformer for Bearings Fault Diagnosis
Micromachines, 2022 Fault diagnosis methods based on deep learning have progressed greatly in recent years. However, the limited training data and complex work conditions still restrict the application of these intelligent methods. This paper proposes an intelligent bearing fault diagnosis method, i.e., Siamese Vision Transformer, suiting limited training data and complex
Qiuchen He +5 more
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A New Method of Wheelset Bearing Fault Diagnosis
Entropy, 2022 During the movement of rail trains, trains are often subjected to harsh operating conditions such as variable speed and heavy loads. It is therefore vital to find a solution for the issue of rolling bearing malfunction diagnostics in such circumstances.
Runtao Sun +3 more
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Sensors, 2021 Data-driven based rolling bearing fault diagnosis has been widely investigated in recent years. However, in real-world industry scenarios, the collected labeled samples are normally in a different data distribution.
Zhengni Yang, Rui Yang, Mengjie Huang
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Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis
IEEE Access, 2020 Fault diagnosis of rolling bearing is of great importance to ensure high reliability and safety in the industrial machinery system. Entropy measures are useful non-linear indicators for time series complexity analysis and have been widely applied in ...
Zhiqiang Huo +3 more
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