| Parameter optimisation in the vibration-based machine learning model for accurate and reliable faults diagnosis in rotating machines NE Sepulveda, J Sinha Machines 8 (4), 66, 2020 | 28 | 2020 |
| Blind application of developed smart vibration-based machine learning (SVML) model for machine faults diagnosis to different machine conditions NF Espinoza Sepúlveda, JK Sinha Journal of Vibration Engineering & Technologies 9, 587-596, 2021 | 23 | 2021 |
| Theoretical validation of earlier developed experimental rotor faults diagnosis model NF Espinoza-Sepulveda, JK Sinha International Journal of Hydromechatronics 4 (3), 295-308, 2021 | 18 | 2021 |
| Comparison of machine learning models based on time domain and frequency domain features for faults diagnosis in rotating machines NE Sepulveda, J Sinha MATEC Web of Conferences 211, 17009, 2018 | 14 | 2018 |
| Mathematical validation of experimentally optimised parameters used in a vibration-based machine-learning model for fault diagnosis in rotating machines N Espinoza-Sepulveda, J Sinha Machines 9 (8), 155, 2021 | 13 | 2021 |
| Robust vibration-based faults diagnosis machine learning model for rotating machines to enhance plant reliability NE Sepulveda, J Sinha Maintenance, reliability and condition monitoring. 1 (1), 1-8, 2021 | 9 | 2021 |
| Theoretical validation of experimental rotor fault detection model previously developed NF Espinoza Sepulveda, JK Sinha International Conference on Maintenance Engineering, 169-177, 2020 | 4 | 2020 |
| Two-step vibration-based machine learning model for the fault detection and diagnosis in rotating machine and its blind application N Espinoza-Sepulveda, J Sinha Structural Health Monitoring, 14759217241249055, 2024 | 3 | 2024 |
| Design for vibration-based fault diagnosis model by integrating AI and IIoT NF Espinoza-Sepulveda, JK Sinha International Congress and Workshop on Industrial AI, 278-285, 2021 | 2 | 2021 |
| Two-step vibration-based machine learning model for the fault detection and diagnosis in rotating machine and its blind application NE Sepulveda, J Sinha Structural Health Monitoring, 2024 | 1 | 2024 |
| Non-dimensional pattern recognition approach for the faults classification in rotating machines NE Sepulveda, J Sinha 3rd International Conference on Maintenance Engineering, 2018 | 1 | 2018 |
| Centralised condition-based maintenance model for rotating machines J Sinha, NE Sepulveda | 1 | 2018 |
| Optimisation of critical parameters for sustainable production of graphene-enhanced cement A Yunusa-Kaltungo, A Alsaeed, NE Sepulveda, M Su Construction and Building Materials 458, 139565, 2025 | | 2025 |
| Generic Smart Rotor Fault Diagnosis Model with Normalised Vibration Parameters NE Sepulveda, J Sinha International Congress and Workshop on Industrial AI and eMaintenance 2023 …, 2024 | | 2024 |
| Generic Smart Rotor Fault Diagnosis Model with Normalised Vibration Parameters N Espinoza-Sepulveda, J Sinha International Congress and Workshop on Industrial AI, 763-771, 2023 | | 2023 |
| Two Steps Artificial Intelligence Approach in Vibration Fault Detection Process NE Sepulveda, J Sinha 9th International Conference on Mechanics and Materials in Design, 121-122, 2022 | | 2022 |
| Design for Vibration-Based Fault Diagnosis Model by Integrating AI and IIoT NE Sepulveda, J Sinha International Congress and Workshop on Industrial AI 2021: IAI 2021, 278-285, 2022 | | 2022 |
| FINITE ELEMENT MODEL OF EXPERIMENTAL RIG AND FAULTS SIMULATION NE Sepulveda, J Sinha Proceedings of IRF2020, 7th IRF Conference, Sept 2020, Portugal, 79-80, 2020 | | 2020 |
| Estudio y análisis de fallas en molino de bolas 140ML003 Compañía Minera Doña Inés de Collahuasi SCM ED Delarze Universidad de Concepción, 2012 | | 2012 |
| TWO STEPS ARTIFICIAL INTELLIGENCE APPROACH IN VIBRATION FAULT DETECTION PROCESS NF Espinoza-Sepulveda, JK Sinha | | |
