Predictive maintenance refers to predicting malfunctions using data from monitoring
equipment and process performance measurements. Machine learning algorithms and …

Predictive maintenance, as a form of pro-active maintenance, has increasing usage and
shows significant superiority over the corrective and preventive maintenance. However …

Maintenance is an activity that cannot be separated from the context of product
manufacturing. It is carried out to maintain the components' or machines' function so that no …

Recent development in the predictive maintenance field has focused on incorporating
artificial intelligence techniques in the monitoring and prognostics of machine health. The …

The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

The area of predictive maintenance has taken a lot of prominence in the last couple of years
due to various reasons. With new algorithms and methodologies growing across different …

The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …

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

Failure prediction is the task of forecasting whether a material system of interest will fail at a
specific point of time in the future. This task attains significance for strategies of industrial …

In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …