Determining prognosis for rotating machinery could potentially reduce maintenance costs
and improve safety and availability. Complex rotating machines are usually equipped with …

This paper presents a novel signal processing scheme by combining an improved Vold-
Kalman filter and the multi-scale sample entropy (IVKF-MSSE) for planetary gearboxes …

This paper is focused on the design of a new approach dedicated to solve classification
problems for the detection of broken rotor bar (BRB) fault in induction motors (IM). This new …

In this article, a voltage-distortion-based method is presented for robust detection and
location of interturn fault (ITF) in permanent magnet synchronous machine (PMSM). The …

In condition monitoring, accurate fault identification is an essential task for designing a
proper maintenance strategy. Misalignment is one of the main faults in rotary machinery …

摘要针对机电作动器的传统故障诊断方法依赖于人工特征提取和工程经验的问题,
该文提出一种基于一维卷积神经网络(1DCNN) 的智能故障诊断方法. 相较于传统故障诊断算法 …

There is an increased interest in developing reliable condition monitoring and fault
diagnosis systems of machines like induction motors; such interest is not only in the final …

This article proposes a model-based method for the detection and phase location of interturn
short fault (ISF) in the permanent magnet synchronous generator (PMSG). The simplified …

Different induction motor applications have subjected this machine to different conditions
that will affect its effective operation. Various types of faults are caused by the environment in …

Interturn short fault (ISF) and high-resistance connection fault (HRC) are both common
incipient faults occurred in permanent magnet synchronous machines (PMSMs). Due to the …