Induction motor (IM) is a highly efficient prime mover in industrial applications. To maintain
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …

A comprehensive fault diagnosis method of rolling bearing about noise interference, fault
feature extraction, and identification was proposed. Based on complete ensemble empirical …

The bearing fault diagnosis of petrochemical rotating machinery faces the problems of large
data volume, weak fault feature signal strength and susceptibility to noise interference. To …

In last decades, remote sensing technology has rapidly progressed, leading to the
development of numerous earth satellites such as Landsat 7, QuickBird, SPOT, Sentinel-2 …

Correct diagnosis in medicine is of great importance as it is one of the most important issues
in medicine. Today, researchers have embarked on many new searches to make an …

Nowadays, industrial machinery companies provide a wide propagation of manufacturing, in
particular induction motors, due to their robustness and low costs. Indeed, with the …

现有刀具故障诊断系统具有系统庞大, 成本高, 精度低等问题, 亟需开发一种高精度,
低成本的刀具故障诊断系统. 为此, 提出一种基于仿生应变传感器的数控机床刀具故障诊断系统 …

Powering production lines by means of asynchronous motors remains the most economical,
robust and safest way for long periods of time. The durability of asynchronous motors is the …

DS evidence theory has in obtaining a correct diagnosis when confronted with highly
conflicting evidence, a collaborative fault diagnosis decision fusion algorithm based on an …

In order to improve the fault accuracy and efficiency of fan bearings, a bearing intelligent
fault diagnosis method based on the combination of particle filter and sparse encoder is …