In this paper, a set of novel smart timely-monitoring fault-diagnosis method is designed,
which utilize the characteristics and mapping of the chaos system, provides a high efficiency …

This paper analyses the effect of the variability of metrological characteristics of a set of low-
cost Micro Electro-Mechanical Systems (MEMS) for the acceleration measurement, on the …

Degradation is a natural phenomenon that occurs in different systems as a result of usage
and environmental exposure. Accordingly, there is a need for maintenance and inspection to …

This paper proposes an innovative multi-output regression method that processes and
converts the numeric data variables into representative images (polygons) to build accurate …

This paper proposes an innovative method for time-series prediction in industrial systems
characterized by highly dynamic non-linear operations. The proposed method can capture …

Digital Appendix and Research Data for “A Taxonomy and Archetypes of Business Analytics in
Smart Manufacturing” Page 1 Digital Appendix and Research Data for “A Taxonomy and …

Innovative possibilities for data collection, networking, and evaluation are unleashing
previously untapped potential for industrial production. However, harnessing this potential …

In predicting of failure time based on operating hours, after identifying the effective
parameters on wear process, it's of great importance to model an associated function …

Data-driven prognostics and health management solutions play an important role for
condition monitoring of industrial systems. They offer promising perspectives for high …

Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …