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Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021

1, 2023

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Intelligent temporal analysis of coronavirus statistical data

Open Engineering (Warsaw), 2021-12, Vol.11 (1), p.1223-1232

Juuso, Esko K.

2021

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Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation

Open Engineering (Warsaw), 2020-08, Vol.10 (1), p.712-720

Juuso, Esko K.

2020

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An advanced teaching scheme for integrating problem-based learning in control education

Open Engineering (Warsaw), 2018-03, Vol.8 (1), p.41-49

Juuso, Esko K.

2018

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Smart Adaptive Big Data Analysis with Advanced Deep Learning

Open Engineering (Warsaw), 2018-11, Vol.8 (1), p.403-416

Juuso, Esko K.

2018

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Intelligent Performance Analysis with a Natural Language Interface

Management systems in production engineering, 2017-09, Vol.25 (3), p.168-175

Juuso, Esko K.

2017

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Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.83-96

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Data-Based Modelling of Chemical Oxygen Demand for Industrial Wastewater Treatment

Applied sciences, 2023-07, Vol.13 (13), p.7848

2023

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Real Order Derivatives and Spectral Norms in Fault Detection

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.111-123

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Intelligent performance measures for condition-based maintenance

Journal of quality in maintenance engineering, 2013-01, Vol.19 (3), p.278-294

2013

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Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021

2023

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Intelligent Real-Time Risk Analysis for Machines and Process Devices

Current Trends in Reliability, Availability, Maintainability and Safety, 2016, p.229-240

2016

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Operability Forecasting Combining Neural Network and Survival Analysis with an Application to Hot Corrosion in Turbofan

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.61-72

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Advanced Prognostics for a Centrifugal Fan and Multistage Centrifugal Pump Using a Hybrid Model

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.153-165

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Data Sharing Concept For Electric Car Services: Fleet Level Optimization and Emission Reduction Based on Monitored Data

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.3-14

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Active Monitoring of RCF in Toroidal Bearings Using Acoustic Emission

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.73-81

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Physics-Inspired Feature Engineering for Condition Monitoring of Alternating Current-Powered Solenoid-Operated Valves

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.139-151

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Feature Assessment for a Hybrid Model

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.43-58

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Systematic Methodology for Generating Natural Spall Faults on Rolling Element Bearings

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.125-137

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Low-End Hardware in Stress Monitoring of CNC Machines

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.97-108

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Detecting Gas Injection Problems in Vacuum Tank Degassing Using Measurements of Multiple Variables

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.31-42

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Unsupervised Deep Neural Network Considering the Uncertainties Effect in Pipeline Condition Monitoring Using Guided Ultrasonic Waves

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021, p.15-29

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Monitoring a municipal wastewater treatment process using a trend analysis

Environmental technology, 2018-12, Vol.39 (24), p.3193-3202

2018

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Intelligent Control of a Solar Thermal Power Plant - Adaption in Varying Conditions

Journal of Automation and Control Engineering, 2017, p.26-30

Juuso, Esko K.

2017

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Prediction of mechanical stress in roller leveler based on vibration measurements and steel strip properties

Journal of intelligent manufacturing, 2019-04, Vol.30 (4), p.1563-1579

2019

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Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021

Intelligent temporal analysis of coronavirus statistical data

Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation

An advanced teaching scheme for integrating problem-based learning in control education

Smart Adaptive Big Data Analysis with Advanced Deep Learning

Intelligent Performance Analysis with a Natural Language Interface

Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring

Data-Based Modelling of Chemical Oxygen Demand for Industrial Wastewater Treatment

Real Order Derivatives and Spectral Norms in Fault Detection

Intelligent performance measures for condition-based maintenance

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021

Intelligent Real-Time Risk Analysis for Machines and Process Devices

Operability Forecasting Combining Neural Network and Survival Analysis with an Application to Hot Corrosion in Turbofan

Advanced Prognostics for a Centrifugal Fan and Multistage Centrifugal Pump Using a Hybrid Model

Data Sharing Concept For Electric Car Services: Fleet Level Optimization and Emission Reduction Based on Monitored Data

Active Monitoring of RCF in Toroidal Bearings Using Acoustic Emission

Physics-Inspired Feature Engineering for Condition Monitoring of Alternating Current-Powered Solenoid-Operated Valves

Feature Assessment for a Hybrid Model

Systematic Methodology for Generating Natural Spall Faults on Rolling Element Bearings

Low-End Hardware in Stress Monitoring of CNC Machines

Detecting Gas Injection Problems in Vacuum Tank Degassing Using Measurements of Multiple Variables

Unsupervised Deep Neural Network Considering the Uncertainties Effect in Pipeline Condition Monitoring Using Guided Ultrasonic Waves

Monitoring a municipal wastewater treatment process using a trend analysis

Intelligent Control of a Solar Thermal Power Plant - Adaption in Varying Conditions

Prediction of mechanical stress in roller leveler based on vibration measurements and steel strip properties

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