Krzysztof Bartecki - Profile on Academia.edu (original) (raw)
Uploads
Papers by Krzysztof Bartecki
Development of a Decision Support Tool for Intelligent Manufacturing using Classification and Correlation Analysis
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diag... more The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diagnostic tool to select basic signals that have a significant impact on output KPIs, is based on a hierarchical analysis of key performance indicators presented in the ISO 22400 standard. The growing number of quantified signals, such as ambient temperature or even the frequency of vibrations makes decision support tools more intelligent. Moreover, they also include predictive analysis in addition to online presentation of the current state of resources. PUPMT tool allows identifying key events that have a significant impact on current or future benefit in production output. It also allows what-if type analysis, running the simulation of the impact of the proposed changes, and the results of this simulation depend on the effects of similar changes that occurred in the past in a given smart manufacturing environment. Thanks to the automatic identification of potential dependencies, the proposed solution adapts to the specifics of a given environment or even a selected production unit. The paper describes the most important methods featured in the tool. Specifically, it considers a signal classification method, a signal correlation analysis and selection of key factors affecting the efficiency of the production process. In order to verify the methods various tests were carried out to calculate and control of OEE index on 20 production units. Finally, we conclude current results and future research directions.
Symmetry
Transfer functions of typical heat exchangers, resulting from their partial differential equation... more Transfer functions of typical heat exchangers, resulting from their partial differential equations, usually contain irrational functions which quite accurately describe the spatio-temporal nature of the processes occurring therein. However, such an accurate but complex mathematical representation is often not convenient from the practical point of view, and some approximation of the original model would be more useful. This paper discusses approximate rational transfer functions for a typical thick-walled double-pipe heat exchanger working in the parallel-flow configuration. Using the method of lines with the backward difference scheme, the original symmetric hyperbolic partial differential equations describing the heat transfer phenomena are transformed into a set of ordinary differential equations and expressed in the form of N subsystems representing spatial sections of the exchanger. Each section is described by a rational transfer function matrix and their cascade interconnecti...
Pomiary Automatyka Robotyka
Transfer function models for distributed parameter systems: Application in pipeline diagnosis
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 2016
Abstract State-Space Models for a Class of Linear Hyperbolic Systems of Balance Laws
Reports on Mathematical Physics, 2015
Frequency-and time-domain analysis of a simple pipeline system
Prawne aspekty wykorzystania metod sztucznej inteligencji dla potrzeb identyfikacji i sterowania procesami przemysłowymi
Zeszyty Naukowe Elektryka Politechnika Opolska, 2006
Sztuczne sieci neuronowe w zastosowaniach : zbiór ćwiczeń laboratoryjnych z wykorzystaniem przybornika Neural Network programu Matlab
Development of a sport center application with WINdev
The proposed Final Project is part of the suite of applications for business management. This pro... more The proposed Final Project is part of the suite of applications for business management. This project will develop while we are at Erasmus period in Poland (Politechnika Opolska), so we take aim to improve the management of such centers in this country, since in many of ...
PCA-Based Approximation
Studies in Systems, Decision and Control, 2015
Time-Domain Representation
Studies in Systems, Decision and Control, 2015
Constant Steady-State Analysis
Studies in Systems, Decision and Control, 2015
Transfer Function Representation
Studies in Systems, Decision and Control, 2015
State-Space Representation
Studies in Systems, Decision and Control, 2015
Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws
Studies in Systems, Decision and Control, 2016
State-space representations for 2×2 hyperbolic systems with boundary inputs
2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015
Estimation of Driving Characteristics by the Application of Elman's Recurrent Neural Network
In this paper, a method of estimating different driving characteristics is presented. Elman’s rec... more In this paper, a method of estimating different driving characteristics is presented. Elman’s recurrent neural network is proposed to be used as a dynamical model of the driver’s type, based on the active accelerator pedal position and other signals. The results can be treated as the first step towards further investigations.
Heat and Mass Transfer, 2014
This paper discusses irrational transfer function representation for a typical thick-walled doubl... more This paper discusses irrational transfer function representation for a typical thick-walled double pipe heat exchanger. Closed-form analytical expressions for the individual elements of 2 9 2 transfer function matrix are derived both for the parallel-and the counter-flow configurations using the Laplace transform method. Based on the transfer function representation, its frequency responses are demonstrated both in the form of three-dimensional graphs as well as classical, two-dimensional Bode and Nyquist plots. Finally, steady-state temperature profiles are presented and compared for both flow arrangements considered.
Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
Lecture Notes in Computer Science, 2012
ABSTRACT In this article, an approximation of the spatiotemporal response of a distributed parame... more ABSTRACT In this article, an approximation of the spatiotemporal response of a distributed parameter system (DPS) with the use of the neural network-based principal component analysis (PCA) is considered. The presented approach is carried out using two different neural structures: single-layer network with unsupervised, generalized Hebbian learning (GHA-PCA) and two-layer feedforward network with supervised learning (FF-PCA). In each case considered, the effect of the number of units in the network projection layer on the mean square approximation error (MSAE) and on the data compression ratio is analysed.
Spatio-temporal responses of a class of 2×2 hyperbolic systems
2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR), 2014
Development of a Decision Support Tool for Intelligent Manufacturing using Classification and Correlation Analysis
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diag... more The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diagnostic tool to select basic signals that have a significant impact on output KPIs, is based on a hierarchical analysis of key performance indicators presented in the ISO 22400 standard. The growing number of quantified signals, such as ambient temperature or even the frequency of vibrations makes decision support tools more intelligent. Moreover, they also include predictive analysis in addition to online presentation of the current state of resources. PUPMT tool allows identifying key events that have a significant impact on current or future benefit in production output. It also allows what-if type analysis, running the simulation of the impact of the proposed changes, and the results of this simulation depend on the effects of similar changes that occurred in the past in a given smart manufacturing environment. Thanks to the automatic identification of potential dependencies, the proposed solution adapts to the specifics of a given environment or even a selected production unit. The paper describes the most important methods featured in the tool. Specifically, it considers a signal classification method, a signal correlation analysis and selection of key factors affecting the efficiency of the production process. In order to verify the methods various tests were carried out to calculate and control of OEE index on 20 production units. Finally, we conclude current results and future research directions.
Symmetry
Transfer functions of typical heat exchangers, resulting from their partial differential equation... more Transfer functions of typical heat exchangers, resulting from their partial differential equations, usually contain irrational functions which quite accurately describe the spatio-temporal nature of the processes occurring therein. However, such an accurate but complex mathematical representation is often not convenient from the practical point of view, and some approximation of the original model would be more useful. This paper discusses approximate rational transfer functions for a typical thick-walled double-pipe heat exchanger working in the parallel-flow configuration. Using the method of lines with the backward difference scheme, the original symmetric hyperbolic partial differential equations describing the heat transfer phenomena are transformed into a set of ordinary differential equations and expressed in the form of N subsystems representing spatial sections of the exchanger. Each section is described by a rational transfer function matrix and their cascade interconnecti...
Pomiary Automatyka Robotyka
Transfer function models for distributed parameter systems: Application in pipeline diagnosis
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 2016
Abstract State-Space Models for a Class of Linear Hyperbolic Systems of Balance Laws
Reports on Mathematical Physics, 2015
Frequency-and time-domain analysis of a simple pipeline system
Prawne aspekty wykorzystania metod sztucznej inteligencji dla potrzeb identyfikacji i sterowania procesami przemysłowymi
Zeszyty Naukowe Elektryka Politechnika Opolska, 2006
Sztuczne sieci neuronowe w zastosowaniach : zbiór ćwiczeń laboratoryjnych z wykorzystaniem przybornika Neural Network programu Matlab
Development of a sport center application with WINdev
The proposed Final Project is part of the suite of applications for business management. This pro... more The proposed Final Project is part of the suite of applications for business management. This project will develop while we are at Erasmus period in Poland (Politechnika Opolska), so we take aim to improve the management of such centers in this country, since in many of ...
PCA-Based Approximation
Studies in Systems, Decision and Control, 2015
Time-Domain Representation
Studies in Systems, Decision and Control, 2015
Constant Steady-State Analysis
Studies in Systems, Decision and Control, 2015
Transfer Function Representation
Studies in Systems, Decision and Control, 2015
State-Space Representation
Studies in Systems, Decision and Control, 2015
Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws
Studies in Systems, Decision and Control, 2016
State-space representations for 2×2 hyperbolic systems with boundary inputs
2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015
Estimation of Driving Characteristics by the Application of Elman's Recurrent Neural Network
In this paper, a method of estimating different driving characteristics is presented. Elman’s rec... more In this paper, a method of estimating different driving characteristics is presented. Elman’s recurrent neural network is proposed to be used as a dynamical model of the driver’s type, based on the active accelerator pedal position and other signals. The results can be treated as the first step towards further investigations.
Heat and Mass Transfer, 2014
This paper discusses irrational transfer function representation for a typical thick-walled doubl... more This paper discusses irrational transfer function representation for a typical thick-walled double pipe heat exchanger. Closed-form analytical expressions for the individual elements of 2 9 2 transfer function matrix are derived both for the parallel-and the counter-flow configurations using the Laplace transform method. Based on the transfer function representation, its frequency responses are demonstrated both in the form of three-dimensional graphs as well as classical, two-dimensional Bode and Nyquist plots. Finally, steady-state temperature profiles are presented and compared for both flow arrangements considered.
Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
Lecture Notes in Computer Science, 2012
ABSTRACT In this article, an approximation of the spatiotemporal response of a distributed parame... more ABSTRACT In this article, an approximation of the spatiotemporal response of a distributed parameter system (DPS) with the use of the neural network-based principal component analysis (PCA) is considered. The presented approach is carried out using two different neural structures: single-layer network with unsupervised, generalized Hebbian learning (GHA-PCA) and two-layer feedforward network with supervised learning (FF-PCA). In each case considered, the effect of the number of units in the network projection layer on the mean square approximation error (MSAE) and on the data compression ratio is analysed.
Spatio-temporal responses of a class of 2×2 hyperbolic systems
2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR), 2014