Power transformers are a central component in the field of energy distribution and
transmission. The early recognition of incipient faults in operating transformers is …

A review on reliability engineering applications in 4 industrial domains namely electronic,
software, nuclear and aerospace from the 2000′ s to the present day is compiled. The …

The availability of condition monitoring data for large fleets of similar equipment motivates
the development of data-driven prognostic approaches that capitalize on the information …

Prognostic health management (PHM) plays an important role in electric systems, especially
for power transformer. This paper focuses on two of five processes of PHM, which are …

This paper presents a fault detection approach based on feature selection and ensemble
machine learning technique for nuclear power plant (NPP) screen cleaner condition …

The recent growth of machine learning and artificial intelligence technologies provides
opportunities for leveraging data-driven algorithms to address the problems of diagnostics …

Abstract Prognostics and Health Management (PHM) systems are usually only considered
and set up in the late stage of design or even during the system's lifetime, after the major …

Due to the particular characteristics of hospital environments, it is necessary to carefully
select the maintenance management model to be implemented in a health institution. This …

Nuclear energy provides almost 20% of the electric power in the United States, producing
power with high availability while accounting for 63% of our carbon-free energy production …

As integral components of any power plant, transformers supply the generated electricity to
the grid. However, a transformer's cellulose-based paper insulation and the mineral oil in …