Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …

Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …

机械故障是风力发电设备, 航空发动机, 高档数控机床等大型机械装备安全可靠运行的“潜在杀手”
. 故障诊断是保障机械装备安全运行的“杀手锏”. 由于诊断的装备量大面广, 每台装备测点多 …

Fault diagnosis of rotating machinery plays a significant role in the industrial production and
engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as …

Singular value decomposition (SVD), as an effective signal denoising tool, has been
attracting considerable attention in recent years. The basic idea behind SVD denoising is to …

This paper presents a review of proper orthogonal decomposition (POD) methods for order
reduction in a variety of research areas. The historical development and basic mathematical …

Intelligent algorithms based on convolutional neural network (CNN) has demonstrated
remarkable potential in diagnosing bearing faults. However, Accurate and robust fault …

Ball bearings remain one of the most crucial components in industrial machines and due to
their critical role, it is of great importance to monitor their conditions under operation …

There has been an increasing interest in the design of intelligent diagnostic systems for
industrial applications. The key requirement in the design of practical diagnostic systems is …

Singular value decomposition (SVD) is widely used in condition monitoring of modern
machine for its unique advantages. A novel relative change rate of singular value kurtosis …