Fault or anomaly detection is one of the key problems faced by the chemical process
industry for achieving safe and reliable operation. In this study, a novel methodology …

Due to the enormous potential of modelling, graph-based approaches have been used for
various applications in the process industries. In this study, we propose a fault detection …

Industrial Robots and Multi-axis Machines have become increasingly popular in recent
years, in a diverse range of industries. These complex and expensive machines are …

Industrial Automation control systems are highly demanding devices regarding real-time
control. They excel at this task and have been perfected since their introduction till today …

Vibration analysis for conditional preventive maintenance is an essential tool for the
industry. The vibration signals sensored, collected and analyzed can provide information …

An efficient production line and regular preventive maintenance is a key of success for any
manufacturing industry as it avoids the costly breakdowns and is principal factor for increase …

Accurate project duration prediction is increasingly important for management because it
defines the expected timeline for project realization. This study utilizes an integrated …

Predictive maintenance normally uses machine learning to learn from existing data to find
patterns that can assist in predicting equipment failures in advance. Predictive maintenance …

Beyond the Automation Pyramid, industries are currently embracing intelligence. One of the
challenges in Industry 4.0 is to conduct Predictive maintenance (PdM) for the Investment …

The bearing serves as a crucial element of any machinery with a gearbox. It is essential to
diagnose bearing faults effectively to ensure the machinery's safety and normal operation …