Search
Filters
total: 27952
-
Catalog
- Publications 6024 available results
- Journals 322 available results
- Conferences 56 available results
- People 265 available results
- Inventions 1 available results
- Projects 14 available results
- e-Learning Courses 542 available results
- Events 11 available results
- Offers 1 available results
- Open Research Data 20716 available results
displaying 1000 best results Help
Search results for: MARINE ENGINE FAULT DIAGNOSIS FAULT DETECTION DIESEL ENGINE MACHINE LEARNING ENSEMBLE LEARNING EXTREME LEARNING MACHINES MULTI-CLASS DECOMPOSITION
-
Journal of Research in Innovative Teaching and Learning
Journals -
Research and Practice in Technology Enhanced Learning
Journals -
Ijaz Arabi Journal of Arabic Learning
Journals -
Language Learning and Technology (LL&T)
Journals -
Minerva - A Review of Science, Learning and Policy
Journals -
MedEdPORTAL : the journal of teaching and learning resources
Journals -
Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering
Journals -
Possibility of valuation of operation of marine diesel engines
PublicationW artykule zaproponowano interpretację wartościującą działania okrętowych silników spalinowych, które (podobnie jak przedstawione mechanice klasycznej działania Hamiltona i Maupertiusa oraz działanie wynikające ze zmiany pędu ciała) jest rozpatrywane jako wielkość fizyczna o jednostce miary zwanej dżulosekundą [dżulsekunda]. Przedstawiono oryginalną metodę analizy i oceny działania silników o zapłonie samoczynnym w ujęciu energetycznym...
-
Rozpoznawanie uszkodzeń w części przepływowej okrętowego turbinowego silnika spalinowego na podstawie wyników badania endoskopowego = Failures' recognising within the passages of a marine gas turbine engine on the basis of results of endoscopic investigation
PublicationThe paper deals with diagnostic issues concerning endoscopic examinations of marine gas turbine engines. There will be presented selected information about failures within the passages and accessible endoscopic methods and means enabling their detection. The author focuses on the endoscopic techniques and widely presents the possibilities of this quickly developed diagnostic method. There will be also presented representative results...
-
An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
-
Development trends of automotive engine cooling systems
PublicationDzięki daleko idącym modyfikacjom układów zasilania i zapłonu silników samochodowych oraz udoskonaleniom układów oczyszczania spalin uzyskano znaczne zmniejszenie emisji związków toksycznych. Układy chłodzenia z pompą cieczy napędzaną mechanicznie stają się archaiczne nie pozwalając na swobodne sterowanie obiegiem cieczy. Również różna wartość temperatury potrzebnej do schładzania różnych procesów wymaga sterowanych zaworów trójdrożnych...
-
Investigation of a Stirling engine as a micro-CHP system
PublicationW pracy przedstawiono przegląd konstrukcji silników Stirlinga, które mogą być stosowane w układach mikro-kogeneracyjnych. Zaprezentowano również wyniki badań silnika Stirlinga przeprowadzonych przy różnych obciążeniach cieplnych i elektrycznych układu.
-
Stirling engine design effects on performance indicies.
PublicationW pracy przedstawiono analizę wpływu wybranych parametrów konstrukcyjnych silnika Stirlinga MAC-02 na jego własności eksploatacyjne. Przyjmując maksimum mocy jako kryterium optymalizacji badano jaki wpływ na wybrane wskaźniki jakości (moc i sprawność) oraz optymalizowane parametry konstrukcyjne silnika (wymiary wymiennika cieplnego oraz parametry układu korbowego) mają ograniczenia nałożone na ciepło dostarczane oraz długość...
-
Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams
Publication -
CAUSALITY IN MODELS OF THERMAL PROCESSES IN SHIP ENGINE ROOMS WITH THE USE OF BOND GRAPH (BG) METHOD
PublicationWith a single approach to modeling elements of different physical nature, the method of Bond Graph (BG) is particularly well suited for modeling energy systems consisting of mechanical, thermal, electrical and hydraulic elements that operate in the power system engine room. The paper refers to the earlier presented new concept of thermal process modeling using the BG method. The authors own suggestions for determining causality...
-
Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting
PublicationForecasting ice phenomena in river systems is of great importance because these phenomena are a fundamental part of the hydrological regime. Due to the stochasticity of ice phenomena, their prediction is a difficult process, especially when data sets are sparse or incomplete. In this study, two machine learning models—Multilayer Perceptron Neural Network (MLPNN) and Extreme Gradient Boosting (XGBoost)—were developed to predict...
-
Michał Michna dr hab. inż.
PeopleMichal Michna received the M.Sc. and Ph.D. degrees in electrical engineering from the Gdansk University of Technology (GUT), Gdansk, Poland, in 1998 and 2005, respectively. Since 2004, he was employed at the Department of Power Electronics and Electrical Machines of the Gdańsk University of Technology (assistant, assistant professor, senior lecturer). In 2010-2015 he was a deputy of head of the Department of Power Electronics and...
-
Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublicationTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
-
Comparing combined gas tubrine/steam turbine and marine low speed piston engine/steam turbine systems in naval applications
PublicationPorównano układy napędowe okrętowe kombinowane turbina gazowa- turbina parowa oraz spalinowy okrętowy silnik tłokowy wolnoobrotowy - turbina parowa. Porównywano moce oraz zużycie paliwa oraz parametry pary świeżej układu turbiny parowej.
-
Quantum issues in diagnostics of marine energy machines and devices
PublicationW artykule podjęto zagadnienie możliwości uwzględniania części dorobku mechaniki kwantowej w diagnostyce okrętowych urządzeń energetycznych. Wykazano, że są zbieżne spostrzeżenia mechaniki kwantoweji diagnostyki technicznej uzyskane w obszarze wiedzy z zakresu badań empirycznych. Uzasadniono konieczność wykonywania podczas badań empirycznych, nie tylko rachunku błędów, lecz także określania niedokładności wyników badań (pomiarów)...
-
Modelling of soft fault propagation in sequential circuits by fuzzy-logic simulations
Publication -
The effect of earth fault current harmonics on tripping of residual current devices
PublicationSzerokie zastosowanie przekształtników, a w szczególności przemienników częstotliwości sprawia, że wyłączniki różnicowoprądowe znajdują się w obwodach, w których może płynąć odkształcony prąd ziemnozwarciowy. Prąd ziemnozwarciowy w obwodach z przemiennikami częstotliwości zawiera harmoniczne, których rząd głównie zależy od częstotliwości PWM. Odkształcony prąd wpływa na poprawne wyzwalanie wyłączników różnicowoprądowych. W artykule...
-
JOURNAL OF MACHINE LEARNING RESEARCH
Journals -
The pattern of verbal, visuospatial and procedural learning in Richardson variant of progressive supranuclear palsy in comparison to Parkinson’s disease
Publication -
Early Predictors of Learning a Foreign Language in Pre-school – Polish as a First Language, English as a Foreign Language
Publication -
Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
Publication -
Towards the 4th industrial revolution: networks, virtuality, experience based collective computational intelligence, and deep learning
PublicationQuo vadis, Intelligent Enterprise? Where are you going? The authors of this paper aim at providing some answers to this fascinating question addressing emerging challenges related to the concept of semantically enhanced knowledge-based cyber-physical systems – the fourth industrial revolution named Industry 4.0.
-
Cloud solutions as a platform for building advanced learning platform, that stimulate the real work environment for project managers
PublicationImproving skills of managers and executives require, that during the transfer of knowledge (in different ways: during studies, trainings, workshops and other forms of education) it is necessary to use tools and solutions that are (or will be) used in real world environments, where people being educated are working or will work. Cloud solutions allow educational entities (universities, training companies, trainers, etc.) to provide...
-
NLITED - New Level of Integrated Techniques for Daylighting Education: Preliminary Data on the Use of an E-learning Platform
PublicationProject NLITED – New Level of Integrated Techniques for Daylighting Education - is an educational project for students and professionals. The project's objective is to create and develop an online eLearning platform with 32 eModules dedicated to daylight knowledge. The project also offers e-learners two summer school training where the theory is put into practice. The platform was launched on January 31, 2022. The paper...
-
Technological vs. Non-Technological Mindsets: Learning From Mistakes, and Organizational Change Adaptability to Remote Work
PublicationThe permanent implementation of the change in working methods, e.g., working in the virtual space, is problematic for some employees and, as a result, for management leaders. To explore this issue deeper, this study assumes that mindset type: technological vs. non-technological, may influence the organizational adaptability to change. Moreover, the key interest of this research is how non-technological mindsets...
-
MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences
Publication—Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...
-
Citizenship Teaching and Learning
Journals -
Diagnosing marine turbine engines through energy characteristics of their flow section
PublicationThe aim of the performed research was to develop of diagnostic method of the flow section of a marine turbine combustion engine based on the level of delamination of its energy characteristics. The here adopted diagnostic model provides for a formulation of the evaluation of the technical conditions based on the measurements of the parameters of the thermodynamic medium in the characteristic control cross-sections of the engine...
-
Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublicationIn this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...
-
Source code - AI models (MLM1-5 - series I-III - QNM opt)
Open Research DataSource code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
-
Ensemble-Based Logistic Model Trees for Website Phishing Detection
Publication -
Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection
Publication -
A new multi-process collaborative architecture for time series classification
PublicationTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
-
Analytical method of determining dynamic properties of thermocouples used in measurements of quick – changing temperatures of exhaust gases in marine diesel engines
PublicationThe article presents selected issues of mathematical modeling of heat exchange between the thermocouple and the exhaust gas flowing them, in unsteady conditions. On the way of energy balancing consideration of thermodynamic processes developed differential equations describing the dynamic properties for three versions of the design sheathed thermocouples: with weld isolated from the sheath, with weld welded the sheath and with...
-
Dimensionless Analysis of Stirling Engine using of Optimization Methods
PublicationW pracy zaprezetowano wyniki analizy wpływu parametrów konstrukcyjnych silnika Stirlinga na jego wskaźniki jakości.Analizę przeprowadzono na modelu bezwymiarowym wykorzystując metody optymalizacji parametrycznej.
-
The automation of test stand for engine cooling system testing
PublicationW rozdziale przedstawiono budowę stanowiska do badań układu chłodzenia silnika samochodowego typu M111920. Układ był wyposażony w obwód podgrzewania paliwa gazowego i układ akumulacji ciepła. Stanowisko wyposażono w liczne termopary do pomiaru temperatur płynów i części metalowych silnika. Ważnym opracowanym zagadnieniem było rejestrowanie wielu pomiarów w czasie rzeczywistym, do czego użyto sieci transmisji danych CAN.
-
Process of self-ignition engine loads and its properties
PublicationW artykule zaproponowano probabilistyczną interpretację obciążenia silników spalinowych o zapłonie samoczynnym z uwzględnieniem znanych parametrów (wskaźników) ich pracy. Wykazano, że obciążenie tego rodzaju silników, rozpatrywane w dowolnej chwili, może być uważane za zmienną losową wielowymiarową. Zmiany obciążenia silnika w czasie jego pracy uznane zostały za proces obciążeń i przedstawione w formie wielowymiarowego procesu...
-
Geothermal heating plant with a combustion engine heat pump.
PublicationPrzedstawiono koncepcję ciepłowni geotermalnej zagospodarowującej zasoby energii zawarte w nisko i średniotemperaturowej wodzie termalnej. W tym celu zaproponowano zastosowanie pompy grzejnej napędzanej silnikiem spalinowym.
-
Multiparameter analysis of Stirling engine with Ericsson drive mechanism.
PublicationW pracy zaprezentowano wyniki optymalizacji parametrów konstrukcyjnych silnika Stirlinga o konfiguracji beta z mechanizmem korbowym Ericssona. Jako kryterium przyjęto maksymalizację mocy silnika. W pierwszym etapie poddano optymalizacji tylko parametry konstrukcyjne wymiennika ciepła (7 zmiennych) W drugim etapie do powyższych zmiennych decyzyjnych procesu optymalizacyjnego dołączono wymiary tłoka oraz parametry konstrukcyjne...
-
Ground tire rubber thermo-mechanically devulcanized in the presence of waste engine oil as asphalt modifier
PublicationCross-linked elastomers network is main limitation for industrial usage of ground tire rubber (GTR) as asphalts’ and road pavements modifier. GTR was thermo-mechanically devulcanized via extrusion in the presence of waste engine oil (WEO) at temperature ranges from 150 to 280 °C. Combined impact of WEO content and extruder barrel temperature on the change of cross-linked structure of degraded GTR (DTGR) was investigated through...
-
SELECTED PROBLEMS OF MACHINE DYNAMICS (2024)
e-Learning CoursesThe course is devoted towards lectures assocuated with the novel issues of machine and structures dynamics. The following lectures will be given during the SPMD course: - introduction to selected problems of machine dynamics, - definition of the machine and structure working environment, - internal and external loads on machines and structures, - dynamics of machines and structures, - strength of machines and structures, - special...
-
Methodology for determining the elemental composition, as well as energy and ignition properties of the low-sulfur marine fuels
PublicationThe key metrological issue of substance and energy balance in research engines is the precise determination of the elemental composition of the applied fuel and its net calorific value. This makes it possible to calculate the amount of heat brought with the fuel into the combustion chamber, as well as the amount and gas composition of the exhaust. However, to fully assess the energy quality of the fuel used, its ignition properties...
-
Improvement of glass break acoustic signal detection via application of wavelet packet decomposition
PublicationThe main subject of the authors' research are non-contact methods of glass break detection based on analysis of the acoustic signal generated during the event. This problem has essential meaning for modern cost- effective alarm systems, particularly those installed into big buildings. The main difficulties of the matter are: transient character of the signal, great number of similar sounds (false signals, mainly accidental glass...
-
Assessing the damage importance rank in acoustic diagnostics of technical conditions of the internal combustion engine with multi-valued logical decision trees
Publication -
E-learning jako narzędzie wspierające kształcenie osób 50+. Rozważania w oparciu o projekt MAYDAY
PublicationRozdział przedstawia zalety i wady szkoleń e-learningowych ze szczególnym uwzględnieniem uczestników w wieku 50+, analizę szkolenia przeprowadzonego w ramach projektu MAYDAY oraz wytyczne i rekomendacje do tworzenia kursów e-learnignowych dla osób powyżej 50-go roku życia.