Minor maintenance actions can affect condition-monitoring measurements, which may in
turn affect the accuracy of diagnostic and prognostic techniques used in condition-based …

As the part of the fourth industrial revolution, the way to perform maintenance has been
significantly influenced by digital solutions. Predictive maintenance is one of the key …

The study takes an empirical approach by testing the proposed predictive maintenance
system in a real industrial scenario. To begin, data is collected from diverse sources within …

I recently had a conversation with the president of a major Predictive Maintenance software
company. The topic was the lack of attendance at a recent PM/CM tradeshow. While …

Advances in machine learning have paved the way for new data-centric approaches in the
field of prognostics and health management of industrial applications. These approaches …

Due to the increasing pressure on efficiency gains and quick response to customers'
requests, manufacturing industries are striving to reduce and eliminate costly, unscheduled …

Condition-based maintenance (CBM) makes use of the actual condition of the component to
decide when to maintain and/or replace the component, thereby maximising the lifetime of …

Condition monitoring together with predictive maintenance of bearings and other equipment
used by the industry avoids severe economic losses resulting from unexpected failures …

Prognosis can be defined as the course of predicting a failure of equipment or a component
in advance, whereas prognostication refers to the act of prediction. The three main branches …

For years, the amount of data generated in many industrial production plants has been said
to have great potential for improving maintenance processes. In order to leverage this …