A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

著录项

• 来源
  《Mechanical systems and signal processing》 |2020年第8期|106739.1-106739.22|共22页
• 作者

  Stephan Schmidt; Alexandre Mauricio; P. Stephan Heyns; Konstantinos C. Gryllias;

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• 作者单位

  Centre for Asset Integrity Management Department of Mechanical and Aeronautical Engineering University of Pretoria Pretoria South Africa;

  Department of Mechanical Engineering KU Leuven Celestijnenlaan 300 3001 Heverlee Belgium Dynamics of Mechanical and Mechatronic Systems Flanders Make Belgium;

  Centre for Asset Integrity Management Department of Mechanical and Aeronautical Engineering University of Pretoria Pretoria South Africa;

  Department of Mechanical Engineering KU Leuven Celestijnenlaan 300 3001 Heverlee Belgium Dynamics of Mechanical and Mechatronic Systems Flanders Make Belgium;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Gearbox diagnostics; Time-varying operating conditions; Frequency Band Identification; IFBI_αgram; Cyclostationarity;

  机译：变速箱诊断;时变的操作条件;频段识别;ifbi_αgram;Cycrostationarity.;