Search Results - "Andrews, Athisayam" :: K.UTB vyhledávací portál

Loading…

An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution

by Andrews, Athisayam, Maniseka, Kondal
Published in Metrology and Measurement systems (01.01.2023)

Get full text

Journal Article

Loading…

An expert system for vibration-based surface roughness prediction using firefly algorithm and LSTM network

by Andrews, Athisayam, Manisekar, Kondal, Michael Thomas Rex, F., Sivakumar, G., Narayanan, M.
Published in Journal of the Brazilian Society of Mechanical Sciences and Engineering (01.08.2023)

Get full text

Journal Article

Loading…

Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm

by Athisayam, Andrews, Kondal, Manisekar
Published in International journal of advanced manufacturing technology (01.03.2023)

Get full text

Journal Article

Loading…

A comprehensive approach with DTW-driven IMF selection, multi-domain fusion, and TSA-based feature selection for compound fault diagnosis

by Athisayam, Andrews, Kondal, Manisekar
Published in Measurement : journal of the International Measurement Confederation (01.01.2025)

Get full text

Journal Article

Loading…

A Smart CEEMDAN, Bessel Transform and CNN-Based Scheme for Compound Gear-Bearing Fault Diagnosis

by Athisayam, Andrews, Kondal, Manisekar
Published in Journal of Vibration Engineering & Technologies (15.05.2024)

Get full text

Journal Article

Loading…

A Unified Approach for Compound Gear-Bearing Fault Diagnosis Using Bessel Transform, Artificial Bee Colony-Based Feature Selection and LSTM Networks

by Athisayam, Andrews, Kondal, Manisekar
Published in Journal of Vibration Engineering & Technologies (01.03.2024)

Get full text

Journal Article

Loading…

An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution

by Andrews, Athisayam, Maniseka, Kondal
Published in Metrology and Measurement systems (29.12.2022)

Get full text

Journal Article

An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution

An expert system for vibration-based surface roughness prediction using firefly algorithm and LSTM network

Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm

A comprehensive approach with DTW-driven IMF selection, multi-domain fusion, and TSA-based feature selection for compound fault diagnosis

A Smart CEEMDAN, Bessel Transform and CNN-Based Scheme for Compound Gear-Bearing Fault Diagnosis

A Unified Approach for Compound Gear-Bearing Fault Diagnosis Using Bessel Transform, Artificial Bee Colony-Based Feature Selection and LSTM Networks

An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution

Refine Results

Format

Subject Area

Topic

Language

Year of Publication

Database