Title: Rolling bearing fault vibration characteristic analysis software system accounting waviness and local defects

Authors: Wujiu Pan; Yuanbin Chen; Conghui Han; Junyi Wang; Jianwen Bao

Addresses: School of Mechatronics Engineering, Shenyang Aerospace University, Shenyang, Liaoning, China; Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft (Shenyang Aerospace University), Ministry of Education, Shenyang, Liaoning, China ' School of Mechatronics Engineering, Shenyang Aerospace University, Shenyang, Liaoning, China; Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft (Shenyang Aerospace University), Ministry of Education, Shenyang, Liaoning, China ' School of Mechatronics Engineering, Shenyang Aerospace University, Shenyang, Liaoning, China; Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft (Shenyang Aerospace University), Ministry of Education, Shenyang, Liaoning, China ' Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China ' Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

Abstract: As the core component of rotating machinery, the health status of rolling bearing directly affects the reliability and safety of equipment operation. Aiming at the vibration characteristics caused by bearing waviness and local defects, a dynamic model considering the waviness parameters of inner and outer races is established, and a time-varying displacement excitation local defect model based on piecewise function is proposed. The displacement, velocity, acceleration and frequency domain response characteristics of the bearing are accurately analysed through nonlinear dynamic equations. On this basis, a software system integrating waviness analysis, single fault and composite fault simulation is developed based on MATLAB App Designer. The software supports users to input operating parameters, generate frequency spectrum and time-domain response curves, and realise the visual analysis of inner and outer race waviness excitation mechanism, as well as the dynamic characteristics simulation of local defects and composite faults. The results show that the proposed model can effectively identify the waviness characteristic frequency (such as ball passing frequency and its harmonics) and local defect impact signals, and provide theoretical support and practical tools for bearing fault diagnosis and health monitoring in complex industrial scenes.

Keywords: rolling bearing; waviness; local defects; composite fault diagnosis; software system development.

DOI: 10.1504/IJRS.2026.155219

International Journal of Reliability and Safety, 2026 Vol.20 No.3, pp.282 - 309

Received: 16 Apr 2025
Accepted: 08 Sep 2025
Published online: 29 Jul 2026 *

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