A cyber-physical system of diagnosing electric drives of building robots

A. Bulgakov, T. Kruglova, T. Bock

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

This article studies the development of a cyber-physical system for diagnosing and forecasting the technical condition of electric drives in robots used for construction. The structure of the cyber-physical system is described and the defect statistics for asynchronous drives submitted. Additionally, a critical analysis of existing diagnostic methods, the selection of the optimal set of diagnostic parameters and existing methods for measuring and analyzing the parameters used for the drives adopted in construction robots for is described. Herein, a method capable of distinguishing a faulty state from a load change based on wavelet transformation and neural networks (diagnosing the technical condition of robot drives) is proposed. Finally, we provide the simulation and experimental results of the proposed method.

Original languageEnglish
DOIs
StatePublished - 2018
Externally publishedYes
Event35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany
Duration: 20 Jul 201825 Jul 2018

Conference

Conference35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
Country/TerritoryGermany
CityBerlin
Period20/07/1825/07/18

Keywords

  • Building robots
  • Cyber-physical system
  • Diagnosing of technical conditions
  • Electric drives
  • Forecasting
  • Neural networks classification
  • Wavelet transformation

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