Sensitivity Analysis and Experimental Research on Ball Bearing Early Fault Diagnosis Based on Testing Signal From Casing

Author:

Chen G.1,Hao T. F.2,Wang H. F.2,Zhao B.2,Wang J.2,Cheng X. Y.2

Affiliation:

1. Professor College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China e-mail:

2. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Abstract

The ball bearings of an aero-engine are key parts that frequently fail, and it is very important to effectively carry out fault diagnosis of the ball bearings. However, in the present research work, the ball bearing faults characteristics are extracted mainly from the bearing house signals, it is well known that usually only the casing signals can be measured in practical aero-engine test, and the ball bearing faults characteristics will greatly weaken after transmitting to the casing from the bearing house, therefore, it is very important to extract the fault characteristics of ball bearings from casing vibration signals for the ball bearing fault diagnosis in the practical aero-engine. In this study, simulation experiments for ball bearing faults are conducted using two rotor experimental rigs with casings. In addition, by means of the impulse response method, the transfer characteristics from the ball bearings to casing measuring points are measured, and a sensitivity analysis is performed. Faults are created on the inner ring, outer ring, and ball of the ball bearings in the two experimental rigs. The ball bearing experiments are carried out, and the fault features are extracted by means of a wavelet envelope analysis. The experimental results indicate that, with high connection stiffness between the bearing house and the casing, there is little vibration attenuation. However, with low connection stiffness, the vibration attenuation is great. After the impulse vibrations caused by the ball bearing faults are transmitted to the casing, the casing vibration is very weak and is often submerged in other signals. However, the ball bearing fault characteristic frequencies can still be effectively extracted from the weak casing vibration signals by using a wavelet envelope analysis. The research results in this study provide an experimental basis for a ball bearing fault diagnosis based on a casing test signal from a practical aero-engine.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference8 articles.

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2. Feature Extraction and Intelligent Diagnosis for Ball Bearing Early Faults;Acta Aeronaut. Astronaut. Sin.,2009

3. Rolling Element Bearing Faults Diagnosis Based on Optimal Morlet Wavelet Filter and Autocorrelation Enhancement;Mech. Syst. Signal Process.,2010

4. Application of an Impulse Response Wavelet to Fault Diagnosis of Rolling Bearings;Mech. Syst. Signal Process.,2007

5. Construction of Adaptive Redundant Multiwavelet Packet and Its Application to Compound Faults Detection of Rotating Machinery;Sci. China Technol. Sci.,2012

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