Len Gelman

According to our database, Len Gelman authored at least 12 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An explainable intelligence fault diagnosis framework for rotating machinery.

Daoguang Yang, Hamid Reza Karimi, Len Gelman

Neurocomputing, July, 2023

Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis.

Mohamed Habib Farhat, Len Gelman, Abdulmumeen Onimisi Abdullahi, Andrew D. Ball, Gerard Conaghan, Winston Kluis

Sensors, April, 2023

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery.

Tomasz Ciszewski, Len Gelman, Andrew D. Ball, Abdulmumeen Onimisi Abdullahi, Biebele Jamabo, Michal Ziolko

Sensors, April, 2023

2022

A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks.

Daoguang Yang, Hamid Reza Karimi, Len Gelman

Sensors, 2022

Novel Vision Monitoring Method Based on Multi Light Points for Space-Time Analysis of Overhead Contact Line Displacements.

Andrzej Wilk, Len Gelman, Jacek Skibicki, Slawomir Judek, Krzysztof Karwowski, Aleksander Jakubowski, Pawel Kaczmarek

Sensors, 2022

Novel Diagnosis Technologies for a Lack of Oil Lubrication in Gearmotor Systems, Based on Motor Current Signature Analysis.

Mohamed Habib Farhat, Len Gelman, Gerard Conaghan, Winston Kluis, Andrew D. Ball

Sensors, 2022

2021

Novel Prediction of Diagnosis Effectiveness for Adaptation of the Spectral Kurtosis Technology to Varying Operating Conditions.

Stuart Kolbe, Len Gelman, Andrew D. Ball

Sensors, 2021

2020

Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary Conditions.

Dezun Zhao, Len Gelman, Fulei Chu, Andrew D. Ball

Sensors, 2020

Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes.

Len Gelman, Krzysztof Solinski, Andrew D. Ball

Sensors, 2020

2014

Novel Signal Processing Techniques for Industrial Engineering.

Len Gelman

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

2008

A new time-frequency transform for non-stationary signals with <i>any</i> nonlinear instantaneous phase.

Len Gelman, Jeremy Gould

Multidimens. Syst. Signal Process., 2008

2007

The new multidimensional time/multi-frequency transform for higher order spectral analysis.

Len Gelman, Ivan Petrunin

Multidimens. Syst. Signal Process., 2007