The new multidimensional time/multi-frequency transform for higher order spectral analysis. - Len Gelman; Ivan Petrunin (Multidimens. Syst. Signal Process., 2007)

A new time-frequency transform for non-stationary signals with any nonlinear instantaneous phase. - Len Gelman; Jeremy Gould (Multidimens. Syst. Signal Process., 2008)

Novel Signal Processing Techniques for Industrial Engineering. - Len Gelman (ICINCO (1), 2014)

Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes. - Len Gelman; Krzysztof Solinski; Andrew D. Ball (Sensors, 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 Prediction of Diagnosis Effectiveness for Adaptation of the Spectral Kurtosis Technology to Varying Operating Conditions. - Stuart Kolbe; Len Gelman; Andrew D. Ball (Sensors, 2021)

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)

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)

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 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, 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, 2023)

An explainable intelligence fault diagnosis framework for rotating machinery. - Daoguang Yang; Hamid Reza Karimi; Len Gelman (Neurocomputing, 2023)

A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis. - Yue Yu; Youqian He; Hamid Reza Karimi; Len Gelman; Ahmet Enis Çetin (Neural Networks, 2024)

A novel digital twin-enabled three-stage feature imputation framework for non-contact intelligent fault diagnosis. - Yue Yu; Hamid Reza Karimi; Len Gelman; Xin Liu (Adv. Eng. Informatics, 2025)

MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion. - Yue Yu; Hamid Reza Karimi; Len Gelman; Ahmet Enis Çetin (Expert Syst. Appl., 2025)