Yong Wang / Kunming University of Science and Technology
Xin Chen / Kunming University of Science and Technology
Yong Long / Chongqing Chuanyi Automation Co., Ltd.
Yu Guo / Kunming University of Science and Technology
Feixiang Zhang / Kunming University of Science and Technology
Zisheng Ma / Kunming University of Science and Technology
To solve the issue of the difficulty in adaptively estimating the fault size of rolling bearings under low-speed and variable-speed conditions, an instantaneous angular speed (IAS)-based rolling bearing fault size adaptive estimation method combined the Savitzky-Golay (SG) filter and median absolute deviation (MAD) is proposed. Firstly, the IAS fluctuation characteristics caused by rolling element bearing faults under different speeds and radial loads conditions are studied. Secondly, the effectiveness characteristics of the SG filter under different parameter conditions are analyzed, and an adaptive scheme for determining the optimal parameters of the SG filter is proposed to eliminate the speed trend component in the IAS signal. Finally, the fault size of rolling element bearing under low-speed and variable-speed conditions is adaptively estimated based on the adaptive SG filter and combined with the adaptive MAD threshold. Experimental data picked under different fault sizes, speeds, and radial load conditions are used to verify the effectiveness and robustness of the proposed method.