Jungwon Yu
YOU?
Author Swipe
View article: Robust Mahalanobis distance‐based lazy learning method for fault detection in high‐dimensional processes
Robust Mahalanobis distance‐based lazy learning method for fault detection in high‐dimensional processes Open
When using lazy learners based on the Mahalanobis distance (MD) function for process fault detection (FD), due to the curse of dimensionality, type I errors can increase significantly as the number of process variables increases. In high‐d…
View article: Trends in intelligent sensor‐based customized management technologies for sewer infrastructures
Trends in intelligent sensor‐based customized management technologies for sewer infrastructures Open
Sewer infrastructure management is essential for public health, environmental protection, and urban stability. Aging networks and the impacts of climate change emphasize the need for advanced management solutions. Traditional methods, such…
View article: Development of Water Quality Analysis for Anomaly Detection and Correlation with Case Studies in Water Supply Systems
Development of Water Quality Analysis for Anomaly Detection and Correlation with Case Studies in Water Supply Systems Open
The increasing importance of water quality management in water supply systems requires the development of efficient methodologies for the early detection of water quality incidents related to the detection of anomalies in water quality par…
View article: A Study on Short-Term Water-Demand Forecasting Using Statistical Techniques
A Study on Short-Term Water-Demand Forecasting Using Statistical Techniques Open
This paper proposes a method for short-term weekly water-demand forecasting combining various statistical techniques. In the proposed method, training datasets are prepared through exploratory data analysis, several data preprocessing step…
View article: Simulations of low impact development designs using the storm water management model
Simulations of low impact development designs using the storm water management model Open
This study assessed the U.S. Environmental Protection Agency's Storm Water Management Model (SWMM) for urban water management challenges. This study conducted a sensitivity analysis to identify the most influential factors in the SWMM. Mor…
View article: Inverse transient analysis for detecting multiple branched pipeline segments in a reservoir pipeline valve system
Inverse transient analysis for detecting multiple branched pipeline segments in a reservoir pipeline valve system Open
The managment of water distribution systems is important not only for reliable water conveyance considering water quality but also for effcient asset management of pipeline infrastructure. Abnormality detection is a critical issuefor pipel…
View article: Machine learning approach for ball milling of alumina ceramics
Machine learning approach for ball milling of alumina ceramics Open
In this work, machine learning (ML) approach based on polynomial regression was explored to analyze the optimal processing parameters and predict the target particle sizes for ball milling of alumina ceramics. Data points were experimental…
View article: Real-time slurry characteristic analysis during ball milling using vibration data
Real-time slurry characteristic analysis during ball milling using vibration data Open
The characteristics of an internal slurry were analyzed during ball milling, which is commonly utilized in ceramic processing. We used a device with a capacity of 50 L because this is the size employed in industries and built a circulation…
View article: Real-Time Slurry Characteristic Analysis During Ball Milling Using Vibration Data
Real-Time Slurry Characteristic Analysis During Ball Milling Using Vibration Data Open
The characteristics of an internal slurry were analyzed during ball milling, which is commonly utilized in ceramic processing. We used a device with a capacity of 50 L because this is the size employed in industries, and built a circulatio…
View article: A Confidence Interval-Based Process Optimization Method Using Second-Order Polynomial Regression Analysis
A Confidence Interval-Based Process Optimization Method Using Second-Order Polynomial Regression Analysis Open
In the manufacturing processes, process optimization tasks, to optimize their product quality, can be performed through the following procedures. First, process models mimicking functional relationships between quality characteristics and …
View article: A New Input Selection Algorithm Using the Group Method of Data Handling and Bootstrap Method for Support Vector Regression Based Hourly Load Forecasting
A New Input Selection Algorithm Using the Group Method of Data Handling and Bootstrap Method for Support Vector Regression Based Hourly Load Forecasting Open
Electric load forecasting is indispensable for the effective planning and operation of power systems. Various decisions related to power systems depend on the future behavior of loads. In this paper, we propose a new input selection proced…
View article: A Fault Isolation Method via Classification and Regression Tree-Based Variable Ranking for Drum-Type Steam Boiler in Thermal Power Plant
A Fault Isolation Method via Classification and Regression Tree-Based Variable Ranking for Drum-Type Steam Boiler in Thermal Power Plant Open
Accurate detection and isolation of possible faults are indispensable for operating complex industrial processes more safely, effectively, and economically. In this paper, we propose a fault isolation method for steam boilers in thermal po…
View article: A novel plugged tube detection and identification approach for final super heater in thermal power plant using principal component analysis
A novel plugged tube detection and identification approach for final super heater in thermal power plant using principal component analysis Open
During startup or normal operations, tube monitoring systems for steam boilers can considerably improve efficiency and reliability in thermal power plants (TPPs). Although several attempts have been made to detect and locate boiler tube le…
View article: Leakage Detection of Steam Boiler Tube in Thermal Power Plant Using Principal Component Analysis
Leakage Detection of Steam Boiler Tube in Thermal Power Plant Using Principal Component Analysis Open
Tube leakage of steam boiler can decrease the whole efficiency of power plant cycle, and eventually cause an unscheduled shutdown. In this paper, we propose a leakage detection method for steam boiler tubes in thermal power plant (TPP) usi…
View article: Locally-Weighted Polynomial Neural Network for Daily Short-Term Peak Load Forecasting
Locally-Weighted Polynomial Neural Network for Daily Short-Term Peak Load Forecasting Open
Electric load forecasting is essential for effective power system planning and operation. Complex and nonlinear relationships exist between the electric loads and their exogenous factors. In addition, time-series load data has non-stationa…
View article: A Clustering-Based Fault Detection Method for Steam Boiler Tube in Thermal Power Plant
A Clustering-Based Fault Detection Method for Steam Boiler Tube in Thermal Power Plant Open
System failures in thermal power plants (TPPs) can lead to serious losses because the equipment is operated under very high pressure and temperature. Therefore, it is indispensable for alarm systems to inform field workers in advance of an…
View article: Fault Detection Method for Steam Boiler Tube Using Mahalanobis Distance
Fault Detection Method for Steam Boiler Tube Using Mahalanobis Distance Open
화력발전소의 설비들은 매우 높은 온도와 압력의 환경에서 운전되므로, 설비고장은 상당한 인적 물적 손실로 이어진다. 그러므로 발전설비의 비정상정인 동작 상태를 사전에 확인할 수 있는 고장탐지 시스템이 필수적이다. 본 연구에서는, 화력발전소 증기보일러의 고장탐지를 위해서 마할라노비스 거리(Mahalanobis distance, MD)를 이용하였다. MD 기반의 고장탐지방법에서는, 비정상샘플은 정상샘플들로부터 멀리 떨어져 있다고 …
View article: Study on BESS Charging and Discharging Scheduling Using Particle Swarm Optimization
Study on BESS Charging and Discharging Scheduling Using Particle Swarm Optimization Open
Analyze the customer daily load patterns, be used to determine the optimal charging and discharging schedule which can minimize the electrical charges through the battery energy storage system(BESS) installed in consumers is an object of t…
View article: Integration of mutual information and CRPSO-based fuzzy model for stock index forecasting
Integration of mutual information and CRPSO-based fuzzy model for stock index forecasting Open
In this paper, the integration of mutual information (MI) and fuzzy model is proposed to predict stock indexes with complex and non-linear characteristics.Technical indicators are considered as initial input candidates and significant inpu…