Chapter 13
Fatigue Evolution of Ball Bearing
with Improved Acoustic Emission Index
Zhihai Wang, Xiaoqin Liu, and Xing Wu
Abstract To obtain fatigue evolution information of ball bearing accurately, deficiency of the conventional acoustic emission (AE) monitoring indexes are analyzed.
New acoustic emission monitoring index based on floating threshold and averaging method is proposed. Firstly, calculating the standard deviation of the original collected acoustic emission data. After that, to obtain floating threshold of each
segment AE data with threshold shrinkage method. Then, trend analysis of seven
improved acoustic emission indexes is carried out based on accelerated fatigue test
data. Compared with the trend of conventional acoustic emission indexes and statistical indexes, the results show that: the improved AE index is more sensitive to the
fatigue of ball bearing. Fatigue evolution information of the ball bearing can be given
better. In the end, general evolution law of ball bearing is summarized with the test
observation.
13.1 Introduction
Rolling bearing is one of the important components of rotating machinery. In the event
of a rotating machinery failure, rolling bearing faults can account for up to 30% [1].
The fatigue damage information can be obtained from the state detection process data
of rolling bearing in real time. It can effectively avoid the economic losses and even
casualties caused by unexpected incidents. When an object is subjected to plastic
deformation or fracture, it will release energy in the form of elastic stress waves
which can be named acoustic emission. Fatigue damage information of ball bearing
can be obtained earlier by AE technique than by vibration method [2, 3]. Basic fatigue
information is obtained by the trend analysis with the conventional acoustic emission
characteristics. The acoustic emission signal test of deep groove ball bearing was
carried out by Al-Ghamd, etc. [4]. It is considered that the RMS and the maximum
amplitude are good indexes. Achmad, etc. [5] did the research on time domain indexes
Z. Wang (B) · X. Liu · X. Wu
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and
Technology, Kunming 650500, China
e-mail: 252481138@qq.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_13
135
Fatigue Evolution of Ball Bearing
with Improved Acoustic Emission Index
Zhihai Wang, Xiaoqin Liu, and Xing Wu
Abstract To obtain fatigue evolution information of ball bearing accurately, deficiency of the conventional acoustic emission (AE) monitoring indexes are analyzed.
New acoustic emission monitoring index based on floating threshold and averaging method is proposed. Firstly, calculating the standard deviation of the original collected acoustic emission data. After that, to obtain floating threshold of each
segment AE data with threshold shrinkage method. Then, trend analysis of seven
improved acoustic emission indexes is carried out based on accelerated fatigue test
data. Compared with the trend of conventional acoustic emission indexes and statistical indexes, the results show that: the improved AE index is more sensitive to the
fatigue of ball bearing. Fatigue evolution information of the ball bearing can be given
better. In the end, general evolution law of ball bearing is summarized with the test
observation.
13.1 Introduction
Rolling bearing is one of the important components of rotating machinery. In the event
of a rotating machinery failure, rolling bearing faults can account for up to 30% [1].
The fatigue damage information can be obtained from the state detection process data
of rolling bearing in real time. It can effectively avoid the economic losses and even
casualties caused by unexpected incidents. When an object is subjected to plastic
deformation or fracture, it will release energy in the form of elastic stress waves
which can be named acoustic emission. Fatigue damage information of ball bearing
can be obtained earlier by AE technique than by vibration method [2, 3]. Basic fatigue
information is obtained by the trend analysis with the conventional acoustic emission
characteristics. The acoustic emission signal test of deep groove ball bearing was
carried out by Al-Ghamd, etc. [4]. It is considered that the RMS and the maximum
amplitude are good indexes. Achmad, etc. [5] did the research on time domain indexes
Z. Wang (B) · X. Liu · X. Wu
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and
Technology, Kunming 650500, China
e-mail: 252481138@qq.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_13
135