Abstract
The early fault characteristics of rolling bearing are weak, and the background noise is so strong that it is difficult to diagnose. In order to solve the above problems, an early fault feature extraction method for rolling bearings based on variational mode decomposition and random decrement technique was proposed. The variational mode decomposition was used to decompose the collected vibration signals, and the component with the larger correlation coefficient was selected as the fault component. Then the fault component was processed by random decrement technology, and the Hilbert envelope spectrum of the fault component was made. According to the proposed method, the early fault characteristic of outer ring of rolling bearing was extracted. Compared with the method based on EMD, the proposed method is more effective in extracting the early fault characteristics of rolling bearings.
Highlights
Rolling bearing is an important component in the mechanical system and the damage of rolling bearing will cause the failure of the mechanical system
Empirical Mode Decomposition (EMD) has been widely used in early fault diagnosis of rolling bearings since it was put forward [4]
Based on Variational Mode Decomposition (VMD) and random decrement technique, a new early fault diagnosis method for rolling bearings is proposed in this paper
Summary
Rolling bearing is an important component in the mechanical system and the damage of rolling bearing will cause the failure of the mechanical system. EMD has been widely used in early fault diagnosis of rolling bearings since it was put forward [4]. In 2014, Dragomiretskiy et al [5] proposed a new adaptive signal processing method, Variational Mode Decomposition (VMD). Random decrement technique is a method of identification of modal parameters, which is first proposed by Cole [7, 8] in 70s. AN EARLY FAULT FEATURE EXTRACTION METHOD FOR ROLLING BEARINGS BASED ON VARIATIONAL MODE DECOMPOSITION AND RANDOM DECREMENT TECHNIQUE. Based on VMD and random decrement technique, a new early fault diagnosis method for rolling bearings is proposed in this paper. The method proposed in this paper is applied to early fault diagnosis of rolling bearings. The fault characteristics of rolling bearing are successfully extracted, and the practicability and effectiveness of the method are verified
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