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<p>Conditional monitoring models allow for superior upkeep of rotary dynamic systems. Defective bearings in rotor-bearing system can lead to the ultimate failure of the rotor system and can cause unexpected breakdowns. This research work describes the correlation between the finite element analysis (FEA) model and the matrix method of dimensional analysis (MMDA) for identification of contact stress and contact deformation. The current approach of FEA and MMDA describes the accuracy and reliability of vibration characteristics detection. The experimentation is performed to analyze the impact of compound defects on vibration characteristics under varied load and speed conditions. The current method was found efficient and effective for vibration characteristics detection within acceptable errors. The finite element analysis (FEA) in conjunction with matrix method of dimensional analysis (MMDA) demonstrates the dependability and precision in diagnosing rotor systems. The current approach was deemed efficient in forecasting the bearing contact characteristic with an acceptable margin of error. </p>

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Dynamic Behavior and Numerical Investigation of Contact Characteristics of Rotor Bearing System using Dimensional Analysis and Finite Element Model

  • 期刊论文

  • 发表日期：

    2025年7月14日

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  • Prasad V. Shinde,
  • Ramchandra G. Desavale,
  • Shridhar S. Deshmukh,
  • Sushant M. Patil,
  • Vijar R. Patil

摘要

Conditional monitoring models allow for superior upkeep of rotary dynamic systems. Defective bearings in rotor-bearing system can lead to the ultimate failure of the rotor system and can cause unexpected breakdowns. This research work describes the correlation between the finite element analysis (FEA) model and the matrix method of dimensional analysis (MMDA) for identification of contact stress and contact deformation. The current approach of FEA and MMDA describes the accuracy and reliability of vibration characteristics detection. The experimentation is performed to analyze the impact of compound defects on vibration characteristics under varied load and speed conditions. The current method was found efficient and effective for vibration characteristics detection within acceptable errors. The finite element analysis (FEA) in conjunction with matrix method of dimensional analysis (MMDA) demonstrates the dependability and precision in diagnosing rotor systems. The current approach was deemed efficient in forecasting the bearing contact characteristic with an acceptable margin of error.