Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

Inefficiencies within compressed air systems (CASs) call for the integration of Industry 4.0
technologies for financially viable and sustainable operations. A systematic literature review …

Data-driven fault diagnosis approaches have attracted considerable attention in the past few
years, and promising diagnostic performance has been achieved with sufficient monitoring …

The early identification of a defect that is developing in a bearing is crucial for avoiding
failures in rotating machinery. Frequency domain analysis of the vibration signals has been …

Data-driven methods have pushed mechanical fault diagnostics to an unprecedented height
recently. However, their satisfactory performance heavily relies on the availability of …

A multidomain variance-learnable prototypical network (MVPN) is proposed to learn
transferable knowledge from a large-scale dataset containing sufficient samples of multiple …

Quality monitoring of manufacturing processes is a field where data analytics can thrive. The
attributes of the data, denoted with the famous '7V', can be used to potentially measure …

According to ISO 26262 standard, functional validation of the developed Automotive
Software Systems (ASSs) is crucial to ensure the safety and reliability aspects. Hardware-in …

Ultra-low temperature (ULT) freezers store perishable bio-contents and have high energy
consumption, which highlight a demand for reliable methods for intelligent surveillance and …

Recently, remarkable successes have been achieved in the quality assurance of automotive
software systems (ASSs) through the utilization of real-time hardware-in-the-loop (HIL) …