Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …

Axial piston pump is the power source of hydraulic systems and its health evaluation is
crucial for the condition monitoring of hydraulic systems. Previous studies focused on the …

Amid the rapid proliferation of thousands of new websites daily, distinguishing safe ones
from potentially harmful ones has become an increasingly complex task. These websites …

One-class classification (OCC) builds models using only the samples from one class (the
target class) so as to predict whether a new-coming sample belongs to the target class or …

This article aims to present a comprehensive review of the recent efforts and advances in
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …

Novelty detection is especially important for monitoring safety-critical systems in which novel
conditions rarely occur and knowledge about novelty in that system is often limited or …

Abstract Development of intelligent systems with the pursuit of detecting abnormal events in
real world and in real time is challenging due to difficult environmental conditions, hardware …

Axial piston pumps are key components in hydraulic systems and their performance
significantly affects the efficiency and reliability of hydraulic systems. Many data-driven …

With flexible data description ability, one-class Support Vector Machine (OCSVM) is one of
the most popular and widely-used methods for one-class classification (OCC). Nevertheless …