Bearings are one of the most critical components in rotating machinery. Since the failures of
bearings will cause unexpected machine damages, it is significant to timely and accurately …

Intelligent fault diagnosis of bearings is an essential issue in the field of health management
and the prediction of rotating machinery systems. The traditional bearing intelligent …

Rolling bearings are the core components of rotating machinery. Their health directly affects
the performance, stability and life of rotating machinery. To prevent possible damage, it is …

Bearing fault diagnosis is essential for the safe and stable operation of rotating machinery.
Existing methods use signals from a single dimension, limiting diagnostic generality and …

Bearings are key components of rotating machinery, and their fault diagnosis is essential for
machinery operation. Bearing vibration signals belong to time series data, but traditional …

The rolling bearing is a critical part of rotating machinery and its condition determines the
performance of industrial equipment; it is necessary to detect rolling bearing faults as early …

Accurate and real-time fault diagnosis (FD) and working conditions identification (WCI) are
the key to ensuring the safe operation of mechanical systems. We observe that there is a …

Convolutional neural networks (CNNs) have demonstrated promising effectiveness in
vibration-based fault diagnosis. However, the faulty characteristics are usually distributed on …

Convolutional kernels have significant affections on feature learning of convolutional neural
network (CNN). However, it is still a challenging problem to determine appropriate kernel …

Condition monitoring and fault diagnosis of bearings play important roles in production
safety and limiting the cost of maintenance on a reasonable level. Nowadays, artificial …