Prognostics and health management: A review of vibration based bearing and gear health indicators
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 …
health condition of engineering systems and their critical components. It mainly consists of …
A brief survey of machine learning methods and their sensor and IoT applications
US Shanthamallu, A Spanias… - … & Applications (IISA), 2017 - ieeexplore.ieee.org
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 …
Learning and its applications. We begin with a broader definition of machine learning and …
Health evaluation of axial piston pumps based on density weighted support vector data description
Q Chao, Y Shao, C Liu, X Yang - Reliability Engineering & System Safety, 2023 - Elsevier
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 …
crucial for the condition monitoring of hydraulic systems. Previous studies focused on the …
Parameter selection of Gaussian kernel for one-class SVM
Y Xiao, H Wang, W Xu - IEEE transactions on cybernetics, 2014 - ieeexplore.ieee.org
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 …
target class) so as to predict whether a new-coming sample belongs to the target class or …
An experimental evaluation of novelty detection methods
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 …
conditions rarely occur and knowledge about novelty in that system is often limited or …
Classification of malicious URLs using machine learning
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 …
from potentially harmful ones has become an increasingly complex task. These websites …
An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions
The application of informative frequency band identification methods makes it possible to
enhance weak damage components in the vibration signals acquired from rotating …
enhance weak damage components in the vibration signals acquired from rotating …
A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications
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 …
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
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 …
the most popular and widely-used methods for one-class classification (OCC). Nevertheless …
Real time detection of acoustic anomalies in industrial processes using sequential autoencoders
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 …
real world and in real time is challenging due to difficult environmental conditions, hardware …