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Research on Characterization Parameters of Main Bearing Wear Condition Based on Vibration Signals Shandong University

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Dong, Yiming, author.
Contributor:
Hu, Yuping
Ji, Shaobo
Liao, Guoliang
Pan, Chi
Yue, Yuanhang
Conference Name:
Automotive Technical Papers (2026-01-01 : Warrendale, Pennsylvania, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2026
Summary:
This study aims to investigate the influence of torque, rotational speed, lubricating oil temperature, and main bearing clearance on the vibration signals of diesel engine block surfaces, thereby establishing a foundation for diagnosing abnormal main bearing wear conditions using engine block surface vibration signals. An experimental test bench was constructed for a six-cylinder diesel engine to collect vibration signals under varying rotational speeds, torques, lubricant temperatures, and main bearing clearances. Frequency domain analysis and wavelet packet decomposition were then performed. The frequency domain analysis results indicate that the vibration signal amplitudes associated with abnormal main bearing wear are primarily concentrated below 5 kHz. Specifically, the energy in frequency bands below 1 kHz and around 2.5 kHz tends to increase with higher rotational speed, torque, and main bearing clearance, while the overall frequency domain amplitudes decrease with rising lubricant temperature. The wavelet packet decomposition results reveal that the energy in most decomposed frequency bands exhibits a positive correlation with rotational speed, torque, and main bearing clearance, but a negative correlation with lubricant temperature. Notably, the energy in wavelet packet bands 15 is significantly affected by rotational speed, bands 1, 3, 4, and 5 are notably influenced by torque, and bands 1 and 2 are strongly affected by main bearing clearance. The findings of this study provide a theoretical foundation and data support for the identification of abnormal wear states in the crankshaftmain bearing system
Notes:
Vendor supplied data
Publisher Number:
2026-01-5003
Access Restriction:
Restricted for use by site license

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