Many researches have been carried out on incipient fault prediction technology for key
machine components (such as bearings) based on historical and real-time condition …

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

With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …

The current buzz in research and industry circles revolves around digitalization and
digitization. By incorporating new technologies, companies can now collect data in real-time …

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 …

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 …

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 …

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 …

In today's world, without an electric motor, it will be hard for us to survive. If you take an
industry, every individual machine has an electric motor. A very significant portion of …

Technological advances in areas such as communications, computer processing,
connectivity, data management are gradually introducing the internet of things (IoT) …