Failure identification and prediction in a power system are essential components that are
prerequisites for optimizing the maintenance of the system. The incidences of power system …

Condition Based Maintenance (CBM)) is a concept that has become more and more
important as the cost, size, and complexity of mechanical components has increased. As …

In electrical power systems, asset management procedures have developed into a central
element of network operations and planning. Hidden Markov models (HMM) can be used to …

The more easily available system performance data and advances in data analytics have
provided us with opportunities to optimize maintenance programs for engineered systems …

The objective of the proposed research is to develop statistical algorithms for controlling
failure trends through targeted maintenance of at-risk components. The at-risk components …

Reliability and safety are two important concepts in industrial applications. Thus, the
development of monitoring tools, which are able to ensure the continuity of service by …

The concept of hidden failure has an extensive and comprehensive significance because it
is associated with the risk assessment process. Therefore, it was necessary to formulate a …

In the past years, Hidden Markov Models have been used in several fields and applications
with success. More recently, these models have been applied to improve the reliability of a …

Preventive maintenance consists of activities performed to maintain a system in a
satisfactory functional condition. Condition Based Maintenance (CBM) aims to reduce the …

A method is presented to determine the amount of preventive maintenance to be performed
on equipment in order to maximize availability. The method uses a continuous-time semi …