Search Results - "2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP)"

Explainable Fault Diagnosis Model using Stacked Autoencoder and Kernel SHAP by Choi, Suk Hoon, Lee, Jong Min

“…Process monitoring plays an important role in economic and safe process operations. Various fault diagnosis models based on data with high classification…”
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Sensor placement for wastewater treatment plants: a computationally efficient algorithm by Liu, Siyu, Yin, Xunyuan, Liu, Jinfeng

“…A wastewater treatment plant is a large-scale nonlinear process consisting of a series of biological reactors and a settler. In this work, we address the…”
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A Modified Bag-of-Words Representation for Industrial Alarm Floods by Alinezhad, Haniyeh Seyed, Shang, Jun, Chen, Tongwen

“…Alarm floods pose a serious threat to the safety of complex industrial plants by overloading an operator's cognitive abilities with a large number of alarms in…”
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Simultaneous Estimation of Soil Moisture and Hydraulic Parameters for Precision Agriculture. Part A: Methodology by Orouskhani, Erfan, Agyeman, Bernard T., Liu, Jinfeng

“…In this paper, we propose a systematic procedure to simultaneously estimate the soil moisture and soil hydraulic parameters for large-scale three-dimensional…”
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Imaging Wind Turbine Fault Signatures Based on Power Curve and Self-Organizing Map for Image-Based Fault Diagnosis by Bilendo, Francisco, Badihi, Hamed, Lu, Ningyun, Cambron, Philippe, Jiang, Bin

“…Wind turbine fault diagnosis based on time-series data from the supervisory control and data acquisition system, remains a challenging task. Due to various…”
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Design of a Database-Driven Quality Predictor for Painting Systems by Yamamoto, S., Kinoshita, T., Wakitani, S., Yamamoto, T., Matsuda, H., Oka, Y., Matsunaga, S., Yamashita, T.

“…In recent years, painting robots (Fig.1) have been introduced in the painting field of excavator due to the labor shortage caused by the declining birthrate…”
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High-Grade Hydrogen Production from Different Feedstock using Bubbling Fluidized-Bed Gasifier with Pressure Swing Adsorption by Taipabu, Muhammad Ikhsan, Viswanathan, Karthickeyan, Wu, Wei

“…Greenhouse gas emissions have a severe impact on the environment and cause global warming, so that uncertainty climate change occurs. Renewable energy is a…”
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Adaptive Energy Reference Time Domain Passivity Control of Teleoperation Systems in the Presence of Time Delay by Rad, Nafise Faridi, Nagamune, Ryozo

“…The main goal of the teleoperation systems is to achieve the highest transparency possible while maintaining stability in the presence of the time delay. This…”
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Fault Detection and Diagnosis using AutoEncoders and Interpretable AI - Case Study on an Industrial Chiller by Gupta, Sparsh, Venugopal, Aswin, Jidhu Mohan, M

“…Process monitoring, fault detection, and diagnosis have become an essential element for both safety and economic operation, in the era of Industry 4.0…”
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Study on Control System Design based on Smart Model Based Development Approach and its Application for a Hydraulic Excavator by Wakitani, Shin, Sako, Mikiya, Yamamoto, Toru, Ohno, Yohei, Yumoto, Natsuki, Koiwai, Kazushige, Yamashita, Koji

“…Model-based development (MBD) that utilizes system models in the design processes of complex products such as autonomous driving vehicles has been receiving…”
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Baseline correction using local smoothing optimization penalized least squares by Li, Yuqiang, Pan, Tianhong, Li, Haoran, Chen, Shan

“…Baseline shift, caused by interference factors, seriously contaminates the essential information of the analysis object. The current baseline correction…”
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Process decomposition and distributed fault detection of large-scale industrial processes by Yin, Xunyuan, Qin, Yan, Chen, Hongtian, Du, Wenli, Liu, Jinfeng, Huang, Biao

“…In this work, a data-driven distributed process monitoring problem is considered. A process decomposition approach is proposed by leveraging community…”
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Feature Construction and Selection for PV Solar Power Modeling by Yang, Yu, Mao, Jia, Nguyen, Richard, Tohmeh, Annas, Yeh, Hen-Geul

“…Using solar power in the process industry can reduce greenhouse gas emissions and make the production process more sustainable. However, the intermittent…”
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Impacts of Mooring Line Lengthening on Position Controller Design for a Floating Offshore Wind Turbine by Saunders, Brendan, Nagamune, Ryozo

“…This paper presents how longer mooring lines impact the ability to command a Floating Offshore Wind Turbine (FOWT) to a desired position. This starts with an…”
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Meta-Reinforcement Learning for Adaptive Control of Second Order Systems by McClement, Daniel G., Lawrence, Nathan P., Forbes, Michael G., Loewen, Philip D., Backstrom, Johan U., Gopaluni, R. Bhushan

“…Meta-learning is a branch of machine learning which aims to synthesize data from a distribution of related tasks to efficiently solve new ones. In process…”
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Automated generation of reaction network hypotheses for complex feedstocks by Srinivasan, Karthik, Puliyanda, Anjana, Prasad, Vinay

“…The advent of greater environmental concern has limited the industrial use of conventional fossil fuel feedstocks, leading to a shift towards bio-based…”
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Extended Kalman Filter for Normal and Oxygen-starved PEM Fuel Cells using a Lumped Pseudo-2D Model by Romey, Wesley, Vijayaraghavan, Krishna

“…This paper develops an extended Kalman filter (EKF) for both normal and fully oxygen-starved polymer electrolyte membrane fuel cells (PEMFCs). The underlying…”
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Nonlinear Model Predictive Control for the Suppression of the COVID-19 Pandemic Based on an Agent-Based Model by Niu, Yue, Nagamune, Ryozo

“…In this paper, Nonlinear Model Predictive Control (NMPC) is used with an Agent-Based Model (ABM) to find optimal control measures in containing the COVID-19…”
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A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts by McCloy, Ryan, Wei, Lai, Bao, Jie

“…Model predictive control (MPC) has become the most widely used advanced control method in process industry. In many cases, forecasts of the disturbances are…”
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Mutual Information Induced Slow-Feature Analysis of Nonlinear Dynamic Systems and the Application in Soft Sensors by Gao, Xinrui, Shardt, Yuri A.W.

“…Slow-feature analysis (SFA) seeks to extract the most slowly varying components of dynamic systems. However, the original definition of SFA implies a linear…”
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