Rolling bearing fault diagnosis
WebSep 30, 2024 · This provides a new idea for fault diagnosis of rolling bearings. In this paper, an optimized local mean decomposition (OLMD) method is proposed. A method of quickly computing the upper and lower envelopes based on an order statistics filter (OSF) is used to replace the moving average and interpolation. Envelope sum and difference can calculate ... WebJun 9, 2024 · Fault Diagnosis of Rolling Bearing Based on WHVG and GCN Abstract: In recent years, emerging intelligent algorithms have achieved great success in the domain of fault diagnosis due to effective feature extraction and powerful learning ability.
Rolling bearing fault diagnosis
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WebNov 1, 2024 · Aiming at the typical non-stationary and nonlinear characteristics of rolling bearing vibration signals, a multi-scale convolutional neural network method for bearing … WebMar 26, 2024 · In this paper, an end-to-end scheme of joint use of two-direction signals and capsule network (CN) is proposed for fault diagnosis of rolling bearing. With the help of the superior ability of CN in capturing the spatial position information between features, more valuable information can be mined. Aiming to eliminate the influence of different ...
WebJan 24, 2024 · Rolling bearing fault diagnosis is the key technology to ensure the reliable, efficient and sustainable operation of the rotating machinery. Previously, many fault diagnosis methods are... WebNov 11, 2024 · This is because the convolutional neural unit works like a filter and is specifically designed for highly nonlinear and complex signals, and the CNN has been widely used in the fault diagnosis of bearings [13,14,15], gears [16,17,18] and other rolling elements, Li proposed a domain adaptation method for machinery fault diagnostics …
WebMar 10, 2016 · The fault diagnosis method of rolling element bearing compound faults based on Sparse No-Negative Matrix Factorization (SNMF)-Support Vector Data Description (SVDD) is proposed in the paper. The figure handling method SNMF is used firstly in fault feature extraction of the bispectrums of rolling element bearing different kinds of … WebApr 2, 2024 · The main bearing fault diagnosis with the proposed method is discussed in this section. Both qualitative analysis in Section 2.1 and the traditional signal processing results in Sections 4.2 and 4.3 indicate that the main bearing damage features are not likely in the high frequency range.
WebFeb 21, 2024 · Compound fault diagnosis is challenging due to the complexity, diversity and non-stationary characteristics of mechanical complex faults. In this paper, a novel compound fault separation method based on singular negentropy difference spectrum (SNDS) and integrated fast spectral correlation (IFSC) is proposed. Firstly, the original …
WebAug 14, 2024 · Finally, an end-to-end fault diagnosis model based on DTCNN is designed. The proposed method is validated on two datasets collected from motor bearing and self-priming centrifugal pump, respectively. Most sub-datasets from motor bearing show the prediction accuracies near 100%, and in the self-priming centrifugal pump dataset, we … gateway deli clarksburgWebMar 7, 2024 · Download figure: Standard image High-resolution image Although many of the above-mentioned deep-learning methods have good recognition accuracy in bearing fault diagnosis, the datasets used by these models are collected in a no-noise or weak-noise environment in the laboratory, which cannot respond to the complicated and variable … gateway defaultWebApr 12, 2024 · Many feature selection methods are applied to the bearing fault diagnosis; provided good performances. In Peña et al., 4 the analysis of variance (ANOVA) is used as a filter method to rank the features based on their relevance, then select the subset that yields the best accuracy through cluster validation assessment. This method provides a good … gateway deliveryWebMar 28, 2024 · Separating sensitive characteristic signals from original vibration data is an important challenge for rolling bearing fault diagnosis. Because it is difficult to obtain large number of damaged ... dawn butler mpWebMar 1, 2024 · As the most basic parts of rotating machinery, the health condition of rolling bearing affects the performance and safety of the whole mechanical equipment. … gateway definition in networkingWebEfficient and accurate fault diagnosis plays an essential role in the safe operation of machinery. In respect of fault diagnosis, various data-driven methods based on deep … gateway definition synonymWebRolling bearings are of great importance to rotating machinery. However, in real operating conditions, rolling bearings are damaged chronically by complex factors like nonuniform workload, which leads to occurrences of faults. Thus, there is necessity to recognize the bearing faults in advance. Algorithms based on deep learning (DL) have excellent feature … dawn buxton wi obituary