Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

As a key part of digital transformation, digital twin is an important concept for achieving smart
manufacturing. However, there remains many challenges about the digital twin concept and …

Vibration-based condition monitoring plays an important role in maintaining reliable and
effective heavy machinery in various sectors. Heavy machinery involves major investments …

In the production, the efficient employment of machines is realized as a source of industry
competition and strategic planning. In the manufacturing industries, data silos are harvested …

Submersible well pumps, widely used for groundwater, are installed at great depths which
make typical maintenance actions unworkable and costly. Condition-based maintenance …

In an industrial setting, consistent production and machine maintenance might help any
company become successful. Machine health checking is a method of observing the status …

An integrated system for monitoring and control of thermal operating modes of a spacecraft
electronic equipment is being developed. It is based on measurement and processing of …

Rotating machines have components like bearings, rotors, stators, etc. Among these
components, bearings are the most critical component and also the primary source of failure …

Nowadays, in the light of high data availability and computational power, Machine Learning
(ML) techniques are widely applied to the area of fault diagnostics in the context of Condition …

The vision of RECLAIM is to demonstrate technologies and strategies to support a new
paradigm for refurbishment and re-manufacturing of large industrial equipment in factories …