Predictive maintenance utilising Machine learning approaches assist machines or systems
in predicting and reducing various forms of machine failures using various particular …

Within smart manufacturing, data driven techniques are commonly adopted for condition
monitoring and fault diagnosis of rotating machinery. Classical approaches use supervised …

The Industrial Internet of Things (IIoT) promises to provide an expanded awareness of field
assets and equipment, access to data from across locations, and actionable insights for …

Nowadays, with the trend of smart manufacturing and development of information and
communication technologies, companies are increasingly applying types of sensors and …

The oil and gas industry faces significant challenges in managing equipment maintenance
due to the complexity and criticality of its assets. Traditional maintenance approaches are …

Although the effectiveness of machine learning (ML) for machine diagnosis has been widely
established, the interpretation of the diagnosis outcomes is still an open issue. Machine …

Since the cycle of development of new products gets shorter and shorter, managing Product
Life Cycle becomes more important and complex. The new generation products have more …

Predictive Maintenance (PdM) is maintenance that screens the presentation and condition of
equipment during ordinary movement to reduce the likelihood of disillusionment. In any case …

Predictive maintenance is an essential aspect of the concept of Industry 4.0. In contrast to
previous maintenance strategies, which plan repairs based on periodic schedules or …