Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …

The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

Intelligent fault diagnosis has been a promising way for condition-based maintenance.
However, the small sample problem has limited the application of intelligent fault diagnosis …

Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

Vibration signals and infrared images have different advantages and characteristics.
Although a few recent researches have explored their information fusion in rotating …

The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …

The continuously growing amount of monitored data in the Industry 4.0 context requires
strong and reliable anomaly detection techniques. The advancement of Digital Twin …

Data augmentation is one of the necessary steps in the process of automated data-driven
fault detection and diagnosis (FDD) for chillers, while real-world operational training …

Image anomaly detection and segmentation are important for the development of automatic
product quality inspection in intelligent manufacturing. Because the normal data can be …

Purpose This study aims to bring awareness to the develo** of fault detection systems
using the data collected from sensor devices/physical devices of various systems for …