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Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization

Sensors (Basel, Switzerland), 2021-03, Vol.21 (7), p.2411

2021

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Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.4017

2020

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Metrics Related to Confusion Matrix as Tools for Conformity Assessment Decisions

Applied sciences, 2023-07, Vol.13 (14), p.8187

2023

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Improving Time Study Methods Using Deep Learning-Based Action Segmentation Models

Applied sciences, 2024-01, Vol.14 (3), p.1185

2024

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PI/PID Controller Relay Experiment Auto-Tuning with Extended Kalman Filter and Second-Order Generalized Integrator as Parameter Estimators

Tehnički vjesnik, 2023-06, Vol.30 (3), p.715-723

2023

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Identification of Inability States of Rotating Machinery Subsystems Using Industrial IoT and Convolutional Neural Network – Initial Research

Tehnički glasnik, 2023, Vol.17 (2), p.279-285

2023

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Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System

Machines (Basel), 2023-07, Vol.11 (7), p.739

2023

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Analysis of the Use of Fatty Acid Methyl Esters as an Additive to Diesel Fuel for Internal Combustion Engines

Energies (Basel), 2021-11, Vol.14 (21), p.7057

2021

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Condition Monitoring of Rotary Machinery Using Industrial IOT Framework: Step to Smart Maintenance

Tehnički glasnik, 2022-06, Vol.16 (3), p.343-352

2022

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Selected diagnostic methods used in Hydroelectric Power Plants

MATEC Web of Conferences, 2021, Vol.332, p.1011

2021

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New reliability-based model of stock optimisation for railroad passenger wagon maintenance

FME transactions, 2020, Vol.48 (4), p.914-921

2020

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Detailed experimental comparison of energy efficiency between proportional and direct driven hydraulic system

Results in engineering, 2023-06, Vol.18, p.101178, Article 101178

2023

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The development of electromobility in the aspect of the energy infrastructure condition assessment

MATEC Web of Conferences, 2021, Vol.338, p.1009

2021

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Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance

Tehnički glasnik, 2021, Vol.15 (3), p.401-409

2021

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Analysis of the sensitivity of the identification method of inability states of rotating systems to the conditions of the experiment

MATEC Web of Conferences, 2021, Vol.332, p.1016

2021

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Green supply chain management in Croatian companies

Tehnički glasnik, 2018-12, Vol.12 (4), p.211-220

2018

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Atomic Force Microscopy: Step Height Measurement Uncertainty Evaluation

Tehnički glasnik, 2024, Vol.18 (2), p.209-214

2024

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Concept, Models and Methods of Sustainability in Croatian Companies

Tehnički vjesnik, 2019, Vol.26 (4), p.902-912

2019

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Automation Systems Design and Laboratory Prototyping Aimed at Mature Petroleum Drilling Rig Retrofitting

Tehnički vjesnik, 2020-02, Vol.27 (1), p.229-236

2020

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Ship Diesel Engine Fault Diagnosis Using Data Science and Machine Learning

Electronics (Basel), 2023-09, Vol.12 (18), p.3860

2023

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Identification of Reliability States of a Ship Engine of the Type Sulzer 6AL20/24

SAE International journal of engines, 2022-01, Vol.15 (4), Article 03-15-04-0028

2022

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Concept, Models and Methods of Sustainability in Croatian Companies

Tehnički vjesnik, 2019-08, Vol.26 (4), p.902

2019

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Rotating Shaft Fault Prediction Using Convolutional Neural Network: A Preliminary Study

Journal of KONES, internal combustion engines, 2019-09, Vol.26 (3), p.75-81

2019

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Identification of Inability States of Rotating Subsystems of Vehicles and Machines

Journal of KONES, internal combustion engines, 2019-03, Vol.26 (1), p.111-118

2019

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Ship Diesel Engine Fault Diagnosis Using Data Science and SVM Classifier

Advances in Technical Diagnostics II, 2023, p.1-12

2023

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Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization

Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input

Metrics Related to Confusion Matrix as Tools for Conformity Assessment Decisions

Improving Time Study Methods Using Deep Learning-Based Action Segmentation Models

PI/PID Controller Relay Experiment Auto-Tuning with Extended Kalman Filter and Second-Order Generalized Integrator as Parameter Estimators

Identification of Inability States of Rotating Machinery Subsystems Using Industrial IoT and Convolutional Neural Network – Initial Research

Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System

Analysis of the Use of Fatty Acid Methyl Esters as an Additive to Diesel Fuel for Internal Combustion Engines

Condition Monitoring of Rotary Machinery Using Industrial IOT Framework: Step to Smart Maintenance

Selected diagnostic methods used in Hydroelectric Power Plants

New reliability-based model of stock optimisation for railroad passenger wagon maintenance

Detailed experimental comparison of energy efficiency between proportional and direct driven hydraulic system

The development of electromobility in the aspect of the energy infrastructure condition assessment

Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance

Analysis of the sensitivity of the identification method of inability states of rotating systems to the conditions of the experiment

Green supply chain management in Croatian companies

Atomic Force Microscopy: Step Height Measurement Uncertainty Evaluation

Concept, Models and Methods of Sustainability in Croatian Companies

Automation Systems Design and Laboratory Prototyping Aimed at Mature Petroleum Drilling Rig Retrofitting

Ship Diesel Engine Fault Diagnosis Using Data Science and Machine Learning

Identification of Reliability States of a Ship Engine of the Type Sulzer 6AL20/24

Concept, Models and Methods of Sustainability in Croatian Companies

Rotating Shaft Fault Prediction Using Convolutional Neural Network: A Preliminary Study

Identification of Inability States of Rotating Subsystems of Vehicles and Machines

Ship Diesel Engine Fault Diagnosis Using Data Science and SVM Classifier

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