Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

Fault prognosis is mainly referred to the estimation of the operating time before a failure
occurs, which is vital for ensuring the stability, safety and long lifetime of degrading industrial …

Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …

Rolling bearing defects in induction motors are usually diagnosed using vibration signal
analysis. For accurate detection of rolling bearing defects, appropriate feature extraction …

CNC milling is a highly complex machining process highly valued in various industries,
including the automotive and aerospace industries. With the increasing competition …

Deep learning has seen increased application in the data-driven fault diagnosis of
manufacturing system components such as rolling bearing. However, deep learning …

Fault diagnosis plays an essential role in rotating machinery manufacturing systems to
reduce their maintenance costs. How to improve diagnosis accuracy remains an open issue …

The ongoing digital transformation enables the collection of a vast amount of data from the
maintenance and production processes. Hence, the techniques traditionally applied for …

Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …

Optimizing condition-based maintenance (CBM) strategies based on machine learning (ML)
methods as reinforcement learning (RL) have been receiving increasing attention due to …