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A zero-shot fault semantics learning model for compound fault diagnosis
Expert Systems with Applications, 2023Juan Xu 0002 +3 more
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The application of compound networks in fault diagnosis of power transformer
2008 China International Conference on Electricity Distribution, 2008Using the concepts of typical gas's concentration and cumulative frequency in analysis of the reliability data for dealing with the pretreatment of data of DGA, two new normalized methods which named characteristic normalization and mix normalization are presented in this paper. The Fisher rule to evaluate the results of the two pretreatment methods is
Wei-zheng Zhang +4 more
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Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery
Knowledge-Based Systems, 2020Abstract The data-driven fault indicator for rotating machinery is designed to reveal the possible fault scenarios from the observed statistical vibration signals. This study develops a novel ensemble extreme learning machine (EELM) network to replace the conventional layout by combining binary classifiers (e.g., binary relevance) for compound-fault ...
Xian-Bo Wang +3 more
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Compound fault diagnosis based on probability box theory
2017 9th International Conference on Modelling, Identification and Control (ICMIC), 2017In view of compound fault of rolling bearing in mechanical transmission system, the fault signal was decomposed by probability box modeling method to obtain the different probability box models. The original data with abundant statistical information was taken as the research object.
Tang Hong +3 more
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A novel compound neural network for fault sources recognition
2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010Independent component analysis (ICA) is a powerful tool for redundancy reduction and nongaussian data analysis. And, artificial neural network (ANN), especially the self-organizing map (SOM) based on unsupervised learning is a kind of excellent method for pattern clustering and recognition. By combining ICA with ANN, a novel compound neural network for
null Jiao Weidong +4 more
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TEM Investigation of Stacking Faults in the Superconducting Compound YNi2B2C
Crystal Research and Technology, 1999To evaluate the influence of composition and high-temperature heat treatment on the occurrence of stacking faults and intergrowths in the layered superconducting compound YNi 2 B 2 C a series of polycrystalline samples and a single crystal were investigated by TEM.
W. Yang, U. Krämer, G. Behr, G. Graw
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Stacking faults and the plastic properties of intermetallic compounds
2012The measurement of low, medium and high stacking fault energies is reviewed. Two methods appropriate to high fault energies are illustrated: (i) using a configuration which gives a specially large partial separation (ii) measuring the minimum size of screw dipoles.
Ngan, AHW +8 more
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Research on Bearing Fault Diagnosis Based on 1DCNN with Fault Compound Features
2023Yubin Yue, Hongjun Wang
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Fault-Tolerant Control Allocation on a Compound Helicopter in Cruise
Proceedings of the Vertical Flight Society 77th Annual Forum and Technology Display, 2021Praneet Vayalali +2 more
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The compound fault interaction analysis of the planet bearing system
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022Song Xue +7 more
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