Detectivity: A combination of Hjorth’s parameters for condition monitoring of ball bearings

Rolling element bearing fault identification using a novel three-step adaptive and automated filtration scheme based on Gini index

(2020) Muhammad N. Albezzawy et al.   ISA TRANSACTIONS

Research on sparsity indexes for fault diagnosis of rotating machinery

(2020) Yonghao Miao et al.   MEASUREMENT

The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring

(2020) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Some further thoughts about spectral kurtosis, spectral L2 / L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients

(2018) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A statistical methodology for the design of condition indicators

(2018) Jérôme Antoni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data

(2018) Alessandro Paolo Daga et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An algorithm for the simulation of faulted bearings in non-stationary conditions

(2017) Gianluca D’Elia et al.   MECCANICA

Planetary gearbox with localised bearings and gears faults: simulation and time/frequency analysis

(2017) Ali Moshrefzadeh et al.   MECCANICA

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comparing Measures of Sparsity

(2009) Niall Hurley et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces

(2009) Carmen Vidaurre et al.   NEURAL NETWORKS