Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Electric motors act as the backbone of industrial development. Their reliable and safe
operation is essential to various industries. At present, motor fault diagnosis based on …

Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

Edge computing technology has been increasingly used in remote and real-time motor fault
diagnosis; however, the majority of the diagnostic algorithm is deployed onto a single …

In this paper, a global probability distribution structure-sparsity filter pruning is proposed to
address the problem of difficult deployment of diagnostic models in resource constrained …

Recently, incremental learning (IL) has been widely used in intelligent fault diagnosis of
electronic machinery. Most of the typical IL methods have adopted the exemplar-replay …

Accurate anomaly detection is critical for the electrical submersible pump (ESP) safety
monitoring. Nevertheless, the multivariate, nonlinear, and dynamic nature of the ESP data …

The response of buildings to seismic events helps us to evaluate their health condition, this
is critical in places with high seismic activity as in Mexico City. In this work, a continuous …

The health status monitoring of key components in gearbox is of great significance to ensure
the safe operation as well as the stability of production efficiency. However, the realtime …

Accelerometers are widely used to measure the response of structures to ground motions,
mainly in the field of Structural Health Monitoring (SHM) since ground displacement can …