Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …

Semi-supervised data are quite common in the process industry, which has caught much
attention in recent years. The semi-supervised feature of process data not only has a great …

Industrial fault diagnosis has been investigated for many years, and many approaches have
been proposed to identify industrial faults. However, the size of the actual training set is …

Due to the high available and reliable requirements of petrochemical processes, it is critical
to develop real-time fault detection approaches with high performance. Some machine …

This special issue of the Journal of Intelligent & 9 Fuzzy Systems on intelligent computing for
diag-10 nostics, prognostics, and system health management 11 is edited from a selection of …

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 …

The traditional fault diagnosis methods of SF 6 circuit breakers lack systematicity, which are
intricate and time-consuming in fault detection and maintenance. A fault diagnosis model of …

Radar systems are large, complex, and technologically advanced machines that have a very
long life-span. This inherently means that there are a lot of parts and subsystems that can …