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Diagnostics of Mechatronic Systems on the Basis of Neural Networks with High-Performance Data Collection

  • P. StepanovEmail author
  • Yu. Nikitin
Conference paper

Abstract

The paper presents diagnostics of mechatronic systems on the basis of AI-based techniques. The paper gives an analysis of diagnosis methods. Development of neural network for diagnosis of mechatronic systems are discussed. Diagnostics system software functions are determined. The input layer is used as the data acquisition unit on base National Instruments devices with LabView software. AI-based techniques for diagnostics are discussed. For diagnosis of CNC machines, a neural network can be applied, consisting of modules, which correspond to each CNC machines units. Each module processes the obtained information according to its diagnostic parameters.

Keywords

Neural Network Input Layer Fuzzy Logic System Diagnostic Parameter Ring Rolling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNovouralsk Technological InstituteNovouralskRussia
  2. 2.Faculty of Quality ManagementIzhevsk State Technical UniversityIzhevskRussia

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