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Fault diagnosis based on comprehensive geometric characteristic and probability neural network

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Publication:1644097
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DOI10.1016/j.amc.2013.12.122zbMath1410.94127OpenAlexW2034652182MaRDI QIDQ1644097

Han Xiao, Huifeng Zhang, Xiaoyue Chen, Ercheng Wang, Jian Xiao, Jian-Zhong Zhou

Publication date: 21 June 2018

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.122


zbMATH Keywords

fault diagnosisboundary-layer featurefuzzy convex-concave featuremacroscopic Euler-numbershaft orbit


Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Fault detection; testing in circuits and networks (94C12)


Related Items (1)

Fault detection for discrete-time linear systems based on descriptor observer approach



Cites Work

  • Unnamed Item
  • Unnamed Item
  • Vibration characteristics of a hydraulic generator unit rotor system with parallel misalignment and rub-impact
  • Multi-class support vector machine optimized by inter-cluster distance and self-adaptive differential evolution
  • Digital and cellular convexity
  • Minimum-Perimeter Polygons of Digitized Silhouettes


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