Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …

Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …

Effective fault diagnosis has long been a research topic in the prognosis and health
management of rotary machinery engineered systems due to the benefits such as safety …

For small sample data, it is difficult to complete the requirements of training complex models
in the field of fault diagnosis. To solve the problem, this paper combines convolutional …

It is important to minimize the unscheduled downtime of machines caused by outages of
machine components in highly automated production lines. Considering machine tools such …

Manufacturing paradigms have played their important roles in modern industry. In recent 20
years, production systems of advanced manufacturing paradigms (eg mass customization …

Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

The condition of a machine can automatically be identified by creating and classifying
features that summarize characteristics of measured signals. Currently, experts, in their …

Predictive maintenance has been proposed to maximize the overall plant availability of
modern manufacturing systems. To this end, research has been conducted mainly on data …

Lubrication Condition monitoring (LCM) is not only utilized as an early warning system in
machinery but also, for fault diagnosis and prognosis under condition-based maintenance …