Sammanfattning This Master's Thesis examined the predictive maintenance industry and
focused on designing a business model for machine learning based predictive …

Digital technology is changing the industrial sector, yet how to make rational use of some
technologies and create considerable value in a variety of industrial scenarios is an issue …

Maintenance has always been an important aspect for industrial companies, with new
technologies allowing for predictive maintenance to be an option. Collected sensor data …

Today's global economy is experiencing a sharper slowdown than ever before. With a
higher risk of deterioration or disappearance of manufacturing companies than usual. As a …

The fourth industrial revolution is present in today's landscape of industrial engi-neering and
digitalization has emerged to be a vital part of an organization's product portfolio. Industry 4 …

For manufacturing sectors to operate at peak efficiency and safety, predictive maintenance is
essential. With the examination of machine data and the detection of anomalies, machine …

In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

With the rise of industrial artificial intelligence (AI), smart sensing, and the Internet of Things
(IoT), companies are learning how to use their data not only for analysing the past but also …

In recent years, machine learning algorithms have made a huge development in
performance and applicability in industry and especially maintenance. Their application …