Abstract Developing a Diagnosis, Prognosis, and Health Monitoring (DPHM) framework for a
small satellite is a challenging task due to the limited availability of onboard health …

PROGNOSTIC methods can be categorized as data driven [1–3], model based, and hybrid.
In this study, a model-based prognosis approach is considered due to limited access to …

The present paper deals with the defect detection and diagnosis of induction motor, based
on motor current signature analysis in a quality control scenario. In order to develop a …

The present paper proposes a novel data-driven Fault Detection and Diagnosis algorithm for
induction motors based on Motor Current Signature Analysis. Principal Component Analysis …

In the residential energy sector there is a growing interest in smart energy management
systems able to monitor, manage and minimize energy consumption. A key factor to curb …

Complex systems are found in almost all field of contemporary science and are associated
with a wide variety of financial, physical, biological, information and social systems. Complex …

Machine fault diagnosis is a very important topic in industrial systems and deserves further
consideration in view of the growing complexity and performance requirements of modern …

In paper mill plants, the competition for increasing efficiency and reducing costs is a primary
purpose. Fault detection and diagnosis can help by minimize the loss of production. In …

In the contest of household energy management, a growing interest is addressed to smart
system development, able to monitor and manage resources in order to minimize wasting …

In high competition for reducing costs, the maintenance of the production plants has a key
role. Machine fault detection and diagnosis can decrease the costs of maintenance by …