Fault diagnosis system based on smart bearing 来自 掌桥科研 喜欢 0 阅读量: 129 作者:Y Shao,G Liang,J Fang 摘要: According to statistics, a lot of the rotating machinery faults are caused by the bearings, so the smart bearing technique is important for ensuring safety of them. For the ...
The health of a bearing is responsible for the hassle-free operation of a machine. As vibration signatures give intimations of machine failure at an earlier stage, mostly vibration-based condition monitoring is used to monitor bearing's health for avoiding the risk of failure...
zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu Star 107 Code Issues Pull requests Discussions Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide ...
Based on the above analysis, in order to effectively extract the fault characteristic information of the resistance signal of the building electrical system and accurately diagnose and classify the fault. This paper proposed a fault diagnosis method for the building electrical system based on VMD-MDI ...
Design of Monitoring System and Fault Diagnosis in Wind Turbine Based On Can Bus Using ARM Wind energy is the most widely used natural resource for the production of electrical energy. Presently wind energy is used to reduce the emission of carbon dioxide.During the transmission ofdata from one...
Vibration analysis has been extensively exploited for bearing fault diagnosis. However, signal acquisition is quite expensive since external hardware is re
S. J. Loutridis, Damage detection in gear system using empirical mode decomposition Engineering Structure, 26 (2004) 1833–1841. Article Google Scholar H. Li, H. Zheng and L. Tang, Wigner-Ville Distribution Based on EMD for Faults Diagnosis of Bearing, Lecture Notes in Computer Science, ...
When arc fault occurs, the burr noise on the current waveform will increase, the maximum value of the two peaks and the height difference between the two will change. There are above differences of the current between normal and fault state, we can carry out state diagnosis according to ...
Periodic impulse in vibration signals is the key feature to determine the local rolling bearing fault,but under strong noise,the fault feature of rolling bearing is usually very weak and nonstationary. A rolling bearing fault feature extraction method based on wavelet threshold denoising and Teager ...
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process Xiaoan YanDaoming SheYadong XuMinping Jia Knowledge Based Systems Aug 2021 The performance of complex rotor–bearing system usually decreases with the development of the running...