Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …

This article presents a method based on vibration signals to diagnose rotor mixed
eccentricity faults in three-phase squirrel cage induction motors (SCIMs). Rotor eccentricity …

Bearing fault diagnosis that utilizes motor current has shown great potential for industrial
application. For estimating fault sizes, this paper develop an electromechanical-magnetic …

Bearings are essential parts in mechanical transmission systems, and their running states
directly affect the reliability and stability of the systems. Therefore, an efficient diagnosis …

Fault diagnostic technique with high adaptability to industrial environments is important to
engineering. Based on the assumption that samples from the training set obey the identical …

Transient feature caused by local defect is crucial for bearing health diagnosis and sparse
learning has been widely used to enhance the desired features with the noise interference …

Nowadays, when it comes to bearing faults monitoring, several solutions and
implementations are in vogue due to the interest they arouse. It can be seen both in the …

This study addresses the detection of broken rotor bar (BRB) faults in induction motors under
diverse load conditions, including no-load scenarios, which pose significant challenges due …

柔性椭圆轴承(Elliptically shaped baring, ESB) 在工作中承受循环交变应力载荷,
是谐波减速器中最易损坏的核心零件. 根据ESB 的运动学特性, 推导其滚道表面发生局部缺陷 …

In the present paper, the first three modal frequencies obtained through recorded vibration
signal of a steel truss bridge is investigated at three different vehicular speeds. The …