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A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment

Darong Huang, Mengting Lin, Lanyan Ke, Zhenping Deng
2018 Journal of Control Science and Engineering  
This paper constructs a model of the abnormal point detection of the stackers in an industrial environment.  ...  In addition, a cooperative detection method based on PCNN and wavelet transform theory is carried out based on the space-time distribution feature of the vibration of the stacker orbits in the industrial  ...  Conclusion In this paper, a cooperative anomaly detection method for the stacker running track in the industrial environment is presented, which is based on PCNN and wavelet transform.  ... 
doi:10.1155/2018/1938490 fatcat:tncpflk7f5ekldx2vmtqs5hkn4

Artificial Neural Network Model for Affective Environmental Control System in Food SMEs

Mirwan Ushada, Tsuyoshi Okayama, Atris Suyantohadi
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The research ob jectives are: 1) To design an affective environmental control model for SME; 2) To develop an Artificial Neural Network (ANN) model for predicting affective environment set points.  ...  This paper presents an affective environmental control system for Small and Medium -sized Enterprises (SMEs). The system is proposed as a technology innovation in appropriate information technology.  ...  This paper proposes an affective environmental control system a solution to provide a comfort workplace environment for worker in SMEs.  ... 
doi:10.12928/telkomnika.v16i3.7437 fatcat:2qilwd6d7nfvpdfn7mcdsgwvo4

Application of Neural Network Algorithm in Optimal Control of Ethylene Distillation Tower

Ruyang Mo, Huihui Wang
2021 Asian Journal of Research in Computer Science  
This article outlines several commonly used neural network algorithms and their related applications in ethylene distillation, aiming to provide reference for the development and innovation of industry  ...  control.  ...  Predictive control: In recent years, predictive control has gradually been widely used in the process industry.  ... 
doi:10.9734/ajrcos/2021/v9i230217 fatcat:kimswzbfd5c5fdfvfhehvtgh5a

Forecasting Hydrogen sulfide Level Based Neural Computation

Jabar H. Yousif
2016 International Journal of Computation and Applied Sciences  
 Abstract-this paper aims to design and implement an environmental monitoring and forecasting system based on neural computing approach.  ...  The output information is used for feeding the alarming systems. The data are collected in real-time through pollution monitoring sensors at Sohar region.  ...  RELATED WORK Sheng-Tun Lia [6] proposed an environmental system in Taiwan for controlling and improving air quality called National Air Quality Monitoring Network (TAQMN).  ... 
doi:10.24842/1611/0004 fatcat:cojvqmpncjgrhjhom7w6wweaoy

Design Performance Analysis of a Self-Organizing Map for Statistical Monitoring of Distribution-free Data Streams

Massimiliano Di Mauro, Matteo F. Maggioni, Marco Grasso, Bianca Maria Colosimo
2016 Procedia CIRP  
In industrial applications, the continuously growing development of multi-sensor approaches, together with the trend of creating data-rich environments, are straining the effectiveness of the traditional  ...  Recent studies showed that those methods can be used in quality control problems by exploiting only in-control data for training (such a learning paradigm is also known as "one-class-classification").  ...  According to the simulations and the real industrial case analysis the SOM-based chart can be considered an effective and promising monitoring tool for unsupervised quality monitoring of industrial process  ... 
doi:10.1016/j.procir.2015.12.054 fatcat:4lppvjiebrg6rk46gczzqx6mim


Klyuchko O. M.
2019 Biotechnologia Acta  
Another system for monitoring environment based on laboratory studying was described in [192] .  ...  and other methods and their organization for ecological control [1] .  ... 
doi:10.15407/biotech12.01.005 fatcat:bd2xm2d6fbc67mjyuqjkiruuxm

Intelligent Control System Architecture for Phosphorus Production from Apatite-Nepheline Ore Waste

Maksim Dli, Andrey Puchkov, Artem Vasiliev, Elena Kirillova, Yuri Selyavskiy, Nikolay Kulyasov
2021 Energies  
This paper proposes multilevel architecture for an intelligent control system for the complex chemical energy technological process of yellow phosphorus production from apatite-nepheline ore processing  ...  The research revealed that, when controlling this process, one has to deal with large amounts of multiformat and polymodal information, and control goals differ at different levels not only in effectiveness  ...  Introduction The implementation of projects in the field of new flow sheets for the recycling of wastes from various industries is currently one of the ways of reducing the adverse effects of human industrial  ... 
doi:10.3390/en14206469 fatcat:jc3i4bqc4zepdofz6e5cm63fly

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

Aleksy Kwilinski, Aleksandra Kuzior
2020 Management Systems in Production Engineering  
The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive  ...  AbstractThe possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article.  ...  An important property of a neuron is its plasticity, that is, the ability to change parameters in the control process.  ... 
doi:10.2478/mspe-2020-0020 fatcat:5xczl3ilvzg77j54ve762lglry

The Learning Path to Neural Network Industrial Application in Distributed Environments

Lenka Landryová, Jan Sikora, Renata Wagnerová
2021 Processes  
This contribution aims to present an approach for the data collection based on features standardized in industry and for data classification processed with an applied machine learning algorithm for distinguishing  ...  Industrial companies focus on efficiency and cost reduction, which is very closely related to production process safety and secured environments enabling production with reduced risks and minimized cost  ...  This contribution presents an approach for the data collection based on features standardized in the industry and for data classification processed with an applied machine learning algorithm for distinguishing  ... 
doi:10.3390/pr9122247 fatcat:rd7ysg25k5gcpcdtnsa3jtmjyi

Recognition of the Problematic Situations in Industrial Systems with Intellectual Support

V. Volochienko, S. Falko, E. Postnikova
2019 International journal of mathematical, engineering and management sciences  
Named the main tasks solved in the design, creation and operation of specialized systems for recognizing problematic production situations, and the methods used in the course of solving them.  ...  The factors responsible for the emergence of problematic situations in the company's production, economic, financial and economic activities are the unacceptable controlled disturbances of the external  ...  the environmental elements under study during the operation of the recognition system; the development of the optimal structure of the recognizing system and an effective control algorithm for its functioning  ... 
doi:10.33889/ijmems.2019.4.6-113 fatcat:s2hfhizgjzaxljmyozuhfutu7u

Image Processing for Next-Generation Robots [chapter]

Gabor Sziebig, Bjrn Solvang, Peter Korondi
2008 Computer Vision  
The novelty of the system is not the technology behind (OCR is used for over 20 years now), but the application of it in such an industrial environment.  ...  Every RT-Component has an activity which is responsible for data processing with the purpose of device control, such as controlling a motor drive, speech recognition, video processing, etc.  ...  Among them, research on RFID technology integrating stereo vision to localize an indoor mobile robot is included in this book.  ... 
doi:10.5772/6155 fatcat:7lsjk3gz5jaofmmktdv4xv2ldu

Factors Influencing the Cooperative Relationship between Enterprises in the Supply Chain of China's Marine Engineering Equipment Manufacturing Industry-An study based on GRNN-DEMATEL method

Tuochen Li, Lin Qiao, Yingying Ding
2020 Applied Mathematics and Nonlinear Sciences  
Based on the data of China's Marine engineering equipment industry, in this Paper, the key influencing factors are identified by using Grounded theory and GRNN-DEMATEL method.  ...  Second, enterprise's operational and technical capabilities are the most important and critical factors, external environment is an irresistible factor.  ...  process; third, external environment (such as the policies on the development of enterprises in the supply chain of marine industry, and market economy, etc.) is an uncontrollable factor influencing the  ... 
doi:10.2478/amns.2020.1.00012 fatcat:uptjiyqoubcz5osikjkswuesyu

A Novel Developed Linear and Nonlinear System Identification for an Industrial Dryer

Mostafa Darvishi
2013 International Journal of Computer Applications  
Dryer system is a controlled plant which is normally used in chemical industry. The proper modeling of this system facilitates its maintenance and keeping.  ...  Normally this is not an easy task, unless having a complete model of the process, due to sudden and nonlinear events.  ...  INTRODUCTION A dryer system is an important control plant which can be widely explored for teaching control engineering.  ... 
doi:10.5120/12921-9908 fatcat:f5mqr27tzzbcnibj2nmpjvoirq

Reinforcement learning methods based on GPU accelerated industrial control hardware

Alexander Schmidt, Florian Schellroth, Marc Fischer, Lukas Allimant, Oliver Riedel
2021 Neural computing & applications (Print)  
AbstractReinforcement learning is a promising approach for manufacturing processes. Process knowledge can be gained automatically, and autonomous tuning of control is possible.  ...  However, the use of reinforcement learning in a production environment imposes specific requirements that must be met for a successful application.  ...  Since the learning methods are applied to real industrial processes, the underlying models must be nonlinear to properly account for mechanical effects like friction, elastic materials, or gear backlash  ... 
doi:10.1007/s00521-021-05848-4 fatcat:evaxbbxqizc5paee4zrvjs2tme

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Guangxing Bai, Tianlong Xu, Baiyuan Ding
2022 Computational Intelligence and Neuroscience  
Based on the analysis of the evaluation method for sustainable development of coal enterprises, the evaluation index system of sustainable development of coal enterprises is established, and a multi-layer  ...  Based on the system theory of man, machine, environment, and management, and taking the four single elements and the whole system in a coal mine as the research object, this paper systematically analyzes  ...  Acknowledgments is study was supported by the grant from the National Natural Science Foundation of China: Study on thermodynamic characteristics and regional heat transferring methods in the process of  ... 
doi:10.1155/2022/5233845 pmid:35321451 pmcid:PMC8938146 fatcat:sudoukq2krf4pitrmaegyk4ncu
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