Given the advancements in modern technological capabilities, having an integrated health
management and diagnostic strategy becomes an important part of a system's operational …

The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …

Hydrogen infrastructure for fueling vehicles has progressed in the last decade from stations
with restricted access and limited operating hours to customer-friendly retail stations open to …

Machine learning methods are widely used for rolling bearing fault diagnosis. Most of them
are based on a basic assumption that training and testing data are adequate and follow the …

Health monitoring is an essential part of condition-based maintenance and prognostics and
health management for gas turbines. Various health monitoring systems have been …

In the process of gas turbine rotor fault diagnosis based on data-driven, transfer learning is
an effective method to solve the lack of gas turbines labeled data, which will result in domain …

Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …

Abstract Condition Based Maintenance (CBM) has become the focus of many research
topics over the past decades. This is mostly related to the development of new machine …

Aero engine performance deterioration highly influences its reliability, availability and life
cycle. Predictive maintenance is therefore a key figure within Industry 4.0, which guarantees …