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Len Gelman

Showing results (1-10 of 15) with videos related to

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Sensors (Basel, Switzerland)|October 26, 2021
Novel Prediction of Diagnosis Effectiveness for Adaptation of the Spectral Kurtosis Technology to Varying Operating ConditionsStuart Kolbe, Len Gelman, Andrew Ball
Sensors (Basel, Switzerland)|October 29, 2025
Novel Higher Order Technologies, Based on Spectral Moduli, for Condition Monitoring of Rotating MachineryTomasz Ciszewski, Len Gelman, Andrew Ball
Sensors (Basel, Switzerland)|September 12, 2020
Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of GearboxesLen Gelman, Krzysztof Soliński, Andrew Ball
Sensors (Basel, Switzerland)|January 22, 2022
A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural NetworksDaoguang Yang, Hamid Reza Karimi, Len Gelman
Sensors (Basel, Switzerland)|April 14, 2026
Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for GearboxesLen Gelman, Rami Kerrouche, Abdulmumeen Onimisi Abdullahi
Sensors (Basel, Switzerland)|April 12, 2025
Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction MotorsAmir R Askari, Len Gelman, Andrew D Ball
Sensors (Basel, Switzerland)|September 16, 2020
Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary ConditionsDezun Zhao, Len Gelman, Fulei Chu, et al.
ISA Transactions|May 1, 2026
Dimensionless features and comprehensive fuzzy-based models for fault diagnosis of rolling element bearings under varying operating conditionsMohammad Ghafouri, Hesam Addin Arghand, Somaye Mohammadi, et al.
Sensors (Basel, Switzerland)|December 11, 2022
Novel Diagnosis Technologies for a Lack of Oil Lubrication in Gearmotor Systems, Based on Motor Current Signature AnalysisMohamed Habib Farhat, Len Gelman, Gerard Conaghan, et al.
Sensors (Basel, Switzerland)|April 14, 2026
Novel Technology for Unbalance Diagnosis for Dual-Speed Wind TurbinesAmir R Askari, Len Gelman, Russell King, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|October 26, 2021
Novel Prediction of Diagnosis Effectiveness for Adaptation of the Spectral Kurtosis Technology to Varying Operating ConditionsStuart Kolbe, Len Gelman, Andrew Ball
Sensors (Basel, Switzerland)|October 29, 2025
Novel Higher Order Technologies, Based on Spectral Moduli, for Condition Monitoring of Rotating MachineryTomasz Ciszewski, Len Gelman, Andrew Ball
Sensors (Basel, Switzerland)|September 12, 2020
Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of GearboxesLen Gelman, Krzysztof Soliński, Andrew Ball
Sensors (Basel, Switzerland)|January 22, 2022
A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural NetworksDaoguang Yang, Hamid Reza Karimi, Len Gelman
Sensors (Basel, Switzerland)|April 14, 2026
Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for GearboxesLen Gelman, Rami Kerrouche, Abdulmumeen Onimisi Abdullahi
Sensors (Basel, Switzerland)|April 12, 2025
Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction MotorsAmir R Askari, Len Gelman, Andrew D Ball
Sensors (Basel, Switzerland)|September 16, 2020
Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary ConditionsDezun Zhao, Len Gelman, Fulei Chu, et al.
ISA Transactions|May 1, 2026
Dimensionless features and comprehensive fuzzy-based models for fault diagnosis of rolling element bearings under varying operating conditionsMohammad Ghafouri, Hesam Addin Arghand, Somaye Mohammadi, et al.
Sensors (Basel, Switzerland)|December 11, 2022
Novel Diagnosis Technologies for a Lack of Oil Lubrication in Gearmotor Systems, Based on Motor Current Signature AnalysisMohamed Habib Farhat, Len Gelman, Gerard Conaghan, et al.
Sensors (Basel, Switzerland)|April 14, 2026
Novel Technology for Unbalance Diagnosis for Dual-Speed Wind TurbinesAmir R Askari, Len Gelman, Russell King, et al.
Pageof 2