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

Condition monitoring plays a significant role in the safety and reliability of modern industrial
systems. Artificial intelligence (AI) approaches are gaining attention from academia and …

Implementing the concept of a “smart furnace transformer” should stipulate its information
support throughout its life cycle. This requires improving techniques for estimating the …

An improved method for process monitoring and fault detection called dynamic
reconstruction principal component analysis (DRPCA) is proposed. By extracting direct …

In this research paper, we presented a novel approach to detect impulsive sounds in real-
time using a combination of Deep CNN and RNN architectures. The proposed approach …

Intelligent fault diagnostics is an essential part of the concept of Industry 4.0. Most of the
developed techniques are usually tested by the same dataset whose data is acquired under …

Maintaining safe and efficient operation in a single-phase pulse width modulation (PWM)
rectifier that employs current sensors relies heavily on accurate sensor readings. However …

Abstract Research Question: In this paper, the processes that characterize the transition
process to Society 5.0 are analysed. Motivation: The wide application of Industry 4.0 …

Fault detection based on canonical correlation analysis (CCA) has received increased
attention due to its efficiency in exploring the relationship between input and output …

Knowledge and data dual-driven (KDDD) represents a novel paradigm that leverages the
strengths of data-driven methods in feature representation and knowledge transfer, while …