In the education process it is of utmost importance to adequately prepare the student for the labor market in accordance with current achievements in the professional field. In doing so, the standard educational process is often not sufficiently aligned with the needs of the market, especially in terms of preparation for work in a collaborative project environment, which is expected in nowadays modern design company. Today, the industry uses advanced digital collaborative software solutions that integrate ideas, design, development and follow the product life cycle. Such software needs to be implemented in the contemporary education process. In this paper authors present the implementation of the 3DExperience Collaborative Platform in the education process of naval architecture, based on modeling of a sample ship in order to analyze its global strength. Students are being familiarized with team work, they are able to monitor their work and progress of their colleagues, influence on the execution of the tasks and adjust the course of the project, redistributing and reallocating the resources. All of this actions are comparatively realistic depiction of the real working environment. Finally, the application of VR technology for the visualization of the model of the ship is presented in order to better understand the project challenges, ship structure and control of the performed tasks. At the end of the paper, the authors give an overview of the achievements and also stress out guidelines for further application of the software in the education process. Next milestone in this ongoing process would be to produce a detailed model of the ship and its documentation and other production information.
{"title":"Implementation of Advanced Collaborative Platform for Project Based Learning in Naval Architecture Studies","authors":"D. Bolf, M. Hadjina, T. Matulja, Igor Knapić","doi":"10.18048/2020.00.16","DOIUrl":"https://doi.org/10.18048/2020.00.16","url":null,"abstract":"In the education process it is of utmost importance to adequately prepare the student for the labor market in accordance with current achievements in the professional field. In doing so, the standard educational process is often not sufficiently aligned with the needs of the market, especially in terms of preparation for work in a collaborative project environment, which is expected in nowadays modern design company. Today, the industry uses advanced digital collaborative software solutions that integrate ideas, design, development and follow the product life cycle. Such software needs to be implemented in the contemporary education process. In this paper authors present the implementation of the 3DExperience Collaborative Platform in the education process of naval architecture, based on modeling of a sample ship in order to analyze its global strength. Students are being familiarized with team work, they are able to monitor their work and progress of their colleagues, influence on the execution of the tasks and adjust the course of the project, redistributing and reallocating the resources. All of this actions are comparatively realistic depiction of the real working environment. Finally, the application of VR technology for the visualization of the model of the ship is presented in order to better understand the project challenges, ship structure and control of the performed tasks. At the end of the paper, the authors give an overview of the achievements and also stress out guidelines for further application of the software in the education process. Next milestone in this ongoing process would be to produce a detailed model of the ship and its documentation and other production information.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125305939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Mrzljak, J. Kudláček, Đerzija Begić-Hajdarević, J. Musulin
In this paper is presented an analysis of gland seals operation and their influence on the performance of low power steam turbine with two cylinders and steam reheating, which can be used in marine applications. Performed analysis presents a comparison of steam turbine main operating parameters when gland seals operation is neglected (as usual in the most of the literature) and when steam mass flow rates leaked through all gland seals are taken into consideration. Steam mass flow rate leakage through all gland seals reduces produced power of the whole turbine and both of its cylinders. Operation of gland seal mounted at the inlet in the first cylinder of any steam turbine (cylinder which operates with the steam of the highest pressure) has the most notable influence on the reduction of the whole turbine produced power. Gland seal mounted at the outlet of the last turbine cylinder (cylinder which operates with the steam of the lowest pressure) did not have any influence on the reduction of steam turbine produced power. In any detail analysis of a steam turbine (especially the complex turbine with multiple cylinders), gland seals operation should be considered due to their notable influence on the turbine performance.
{"title":"The Leakage of Steam Mass Flow Rate through the Gland Seals – Influence on Turbine Produced Power","authors":"V. Mrzljak, J. Kudláček, Đerzija Begić-Hajdarević, J. Musulin","doi":"10.18048/2020.58.03","DOIUrl":"https://doi.org/10.18048/2020.58.03","url":null,"abstract":"In this paper is presented an analysis of gland seals operation and their influence on the performance of low power steam turbine with two cylinders and steam reheating, which can be used in marine applications. Performed analysis presents a comparison of steam turbine main operating parameters when gland seals operation is neglected (as usual in the most of the literature) and when steam mass flow rates leaked through all gland seals are taken into consideration. Steam mass flow rate leakage through all gland seals reduces produced power of the whole turbine and both of its cylinders. Operation of gland seal mounted at the inlet in the first cylinder of any steam turbine (cylinder which operates with the steam of the highest pressure) has the most notable influence on the reduction of the whole turbine produced power. Gland seal mounted at the outlet of the last turbine cylinder (cylinder which operates with the steam of the lowest pressure) did not have any influence on the reduction of steam turbine produced power. In any detail analysis of a steam turbine (especially the complex turbine with multiple cylinders), gland seals operation should be considered due to their notable influence on the turbine performance.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TOmislav Staničić, M. Toman Fernandez, A. Turk, Damir Kolić
The paper focuses on two aspects. One is SENER incentives to work with the educational community by providing the FORAN software as a collaboration mean that centres on helping to develop the FORAN system, and the other way around the use of the FORAN system for academic purposes in universities, to improve and complement the teaching and training process for students. The second part of the paper focuses more on a technical details on the design procedure for the damage stability and the safety assessment criteria that is established accordingly. Stability assessment is performed using the FORAN software, with the creation of explicit damage events by a fully automated simulation, established from the uniformly distributed random numbers with given probability distributions for size and position of damage and an example on a container ship presented.
{"title":"Foran Application on Damage Stability Assessment on a Container Vessel","authors":"TOmislav Staničić, M. Toman Fernandez, A. Turk, Damir Kolić","doi":"10.18048/2020.00.17","DOIUrl":"https://doi.org/10.18048/2020.00.17","url":null,"abstract":"The paper focuses on two aspects. One is SENER incentives to work with the educational community by providing the FORAN software as a collaboration mean that centres on helping to develop the FORAN system, and the other way around the use of the FORAN system for academic purposes in universities, to improve and complement the teaching and training process for students. The second part of the paper focuses more on a technical details on the design procedure for the damage stability and the safety assessment criteria that is established accordingly. Stability assessment is performed using the FORAN software, with the creation of explicit damage events by a fully automated simulation, established from the uniformly distributed random numbers with given probability distributions for size and position of damage and an example on a container ship presented.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133750536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Schultz, Claudia Kruschel, Viviane Wolff, K. Fricke-Neuderth, Dubravko Pejdo, Jonas Jaeger
One method of assessing the ecological status of seagrass is the analysis of videographic images for variables such as total aerial cover. Georeferenced images can be collected and matched by location over time, and any changes in coverage can be compared statistically to the expected null hypothesis. Since the manual analysis of large datasets approaching over a million images is not feasible, automated methods are necessary. Because of the wide variation in underwater conditions affecting light transmission and reflection, including biological conditions, deep learning methods are necessary to distinguish seagrass from non-seagrass portions of images. Using deep semantic segmentation, we evaluated several deep neural network architectures, and found that the best performer is the DeepLabv3Plus network, at close to 88% (intersection over union). We conclude that the deep learning method is more accurate and many times faster than human annotation. This method can now be used for scoring of large image datasets for seagrass discrimination and cover estimates. Our code is available on GitHub: https://enviewfulda.github.io/LookingForSeagrassSematicSegmentation
{"title":"Semantic Segmentation for Posidonia Oceanica Coverage Estimation","authors":"S. Schultz, Claudia Kruschel, Viviane Wolff, K. Fricke-Neuderth, Dubravko Pejdo, Jonas Jaeger","doi":"10.18048/2020.00.25","DOIUrl":"https://doi.org/10.18048/2020.00.25","url":null,"abstract":"One method of assessing the ecological status of seagrass is the analysis of videographic images for variables such as total aerial cover. Georeferenced images can be collected and matched by location over time, and any changes in coverage can be compared statistically to the expected null hypothesis. Since the manual analysis of large datasets approaching over a million images is not feasible, automated methods are necessary. Because of the wide variation in underwater conditions affecting light transmission and reflection, including biological conditions, deep learning methods are necessary to distinguish seagrass from non-seagrass portions of images. Using deep semantic segmentation, we evaluated several deep neural network architectures, and found that the best performer is the DeepLabv3Plus network, at close to 88% (intersection over union). We conclude that the deep learning method is more accurate and many times faster than human annotation. This method can now be used for scoring of large image datasets for seagrass discrimination and cover estimates. Our code is available on GitHub: https://enviewfulda.github.io/LookingForSeagrassSematicSegmentation","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126351937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Milošević, L. Kranjčević, S. Pilicic, M. Čavrak, I. Kegalj, L. Traven
For the last couple of decades, environmental protection awareness within port areas is gaining ever more importance. Ports can have a tremendous impact on the environment, especially in terms of air pollution. The main pollution sources are various port activities such as road and rail traffic, cargo handling and marine vessel operations. Air quality models can be of great help in estimating the effect on the ambient air quality from one or more sources emitting pollutants to the atmosphere. One of those models is the widely used Gaussian Plume dispersion approach. Based on existing measurements and port activity data, models can simulate the dispersion of air pollutants caused by activities and operations taking place within the port. By using historical data, they can simulate the current state of the air quality in the port and with the help of weather predictions simulate possible future situation. Simulations can assist the port manager/operator in the decision-making process in order to optimize various activities within the port and minimize their impact on the environment. One of the main objectives of the Horizon 2020 Project PIXEL (Port IoT for environmental leverage) is the deployment of environmental pollution models which can aid in the decision-making processes within the port domain. This paper reviews the current advances in the field of air pollution modelling with a special emphasis on port scenarios.
{"title":"Air Pollution Dispersion Modeling in Port Areas","authors":"T. Milošević, L. Kranjčević, S. Pilicic, M. Čavrak, I. Kegalj, L. Traven","doi":"10.18048/2020.00.12","DOIUrl":"https://doi.org/10.18048/2020.00.12","url":null,"abstract":"For the last couple of decades, environmental protection awareness within port areas is gaining ever more importance. Ports can have a tremendous impact on the environment, especially in terms of air pollution. The main pollution sources are various port activities such as road and rail traffic, cargo handling and marine vessel operations. Air quality models can be of great help in estimating the effect on the ambient air quality from one or more sources emitting pollutants to the atmosphere. One of those models is the widely used Gaussian Plume dispersion approach. Based on existing measurements and port activity data, models can simulate the dispersion of air pollutants caused by activities and operations taking place within the port. By using historical data, they can simulate the current state of the air quality in the port and with the help of weather predictions simulate possible future situation. Simulations can assist the port manager/operator in the decision-making process in order to optimize various activities within the port and minimize their impact on the environment. One of the main objectives of the Horizon 2020 Project PIXEL (Port IoT for environmental leverage) is the deployment of environmental pollution models which can aid in the decision-making processes within the port domain. This paper reviews the current advances in the field of air pollution modelling with a special emphasis on port scenarios.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125313989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Typically, ships are designed for open sea navigation and thus research of autonomous ships is mostly done for that particular area. This paper explores the possibility of using low-cost sensors for localization inside the small navigation area. The localization system is based on the technology used for developing autonomous cars. The main part of the system is visual odometry using stereo cameras fused with Inertial Measurement Unit (IMU) data coupled with Kalman and particle filters to get decimetre level accuracy inside a basin for different surface conditions. The visual odometry uses cropped frames for stereo cameras and Good features to track algorithm for extracting features to get depths for each feature that is used for estimation of ship model movement. Experimental results showed that the proposed system could localize itself within a decimetre accuracy implying that there is a real possibility for ships in using visual odometry for autonomous navigation on narrow waterways, which can have a significant impact on future transportation.
{"title":"Stereo Visual Odometry for Indoor Localization of Ship Model","authors":"Mario Kučić, M. Valčić","doi":"10.18048/2020.58.04","DOIUrl":"https://doi.org/10.18048/2020.58.04","url":null,"abstract":"Typically, ships are designed for open sea navigation and thus research of autonomous ships is mostly done for that particular area. This paper explores the possibility of using low-cost sensors for localization inside the small navigation area. The localization system is based on the technology used for developing autonomous cars. The main part of the system is visual odometry using stereo cameras fused with Inertial Measurement Unit (IMU) data coupled with Kalman and particle filters to get decimetre level accuracy inside a basin for different surface conditions. The visual odometry uses cropped frames for stereo cameras and Good features to track algorithm for extracting features to get depths for each feature that is used for estimation of ship model movement. Experimental results showed that the proposed system could localize itself within a decimetre accuracy implying that there is a real possibility for ships in using visual odometry for autonomous navigation on narrow waterways, which can have a significant impact on future transportation.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114759544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents results from numerical analysis of the fluid and structure interaction of two different hydrofoil models, Model 1 and Model 2. Analyzes were performed with stainless steel, aluminium and composite materials for Model 1, and Model 2 was created from composite with aluminium reinforcement. Models were analyzed for three different angles of attack (10, 20, 30 degrees) and for each angle three different speeds were tested (2, 4, 6 m/s). At first, the whole set of analysis was run for entirely submerged hydrofoils and later on for immersed hydrofoils to the draft h. Described numerical analysis was performed in order to adjust stiffens of hydrofoils based on different operational loads. Two-way fluid-structure interaction analysis was used which combines FEM and CFD solvers. Presented results are based on 44 analysis with which all planned conditions of hydrofoil operation were tested. Numerical analysis showed a correlation between stiffens of material i.e. structural response and hydrodynamic loading. Besides mentioned, based on analysis of Model 2 future prediction are given in a way of hydrofoil design or particularly placement for hydrofoils reinforcement.
{"title":"Stiffness Adjustment of Surface-Piercing Hydrofoils Within Fluid-Structure Interaction","authors":"Darin Majnarić, A. Zamarin","doi":"10.18048/2020.00.14","DOIUrl":"https://doi.org/10.18048/2020.00.14","url":null,"abstract":"This paper presents results from numerical analysis of the fluid and structure interaction of two different hydrofoil models, Model 1 and Model 2. Analyzes were performed with stainless steel, aluminium and composite materials for Model 1, and Model 2 was created from composite with aluminium reinforcement. Models were analyzed for three different angles of attack (10, 20, 30 degrees) and for each angle three different speeds were tested (2, 4, 6 m/s). At first, the whole set of analysis was run for entirely submerged hydrofoils and later on for immersed hydrofoils to the draft h. Described numerical analysis was performed in order to adjust stiffens of hydrofoils based on different operational loads. Two-way fluid-structure interaction analysis was used which combines FEM and CFD solvers. Presented results are based on 44 analysis with which all planned conditions of hydrofoil operation were tested. Numerical analysis showed a correlation between stiffens of material i.e. structural response and hydrodynamic loading. Besides mentioned, based on analysis of Model 2 future prediction are given in a way of hydrofoil design or particularly placement for hydrofoils reinforcement.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Jović, Jana Felicitas Schlierf, Virte Heinen, E. Tijan
This paper presents an overview of challenges related to information management in reverse logistics and an overview of selected disruptive technologies (Internet of Things, Blockchain, Cloud computing and Artificial intelligence) that improve information management and information flow in the reverse logistics chain. The theoretical background of reverse logistics and selected disruptive technologies is provided. The goal of this paper is to research how information management in reverse logistics can be improved through the use of disruptive technologies. The research problem results from increased costs and insufficient prediction accuracy in the reverse logistics chain.
{"title":"Information management in Reverse logistics","authors":"M. Jović, Jana Felicitas Schlierf, Virte Heinen, E. Tijan","doi":"10.18048/2020.58.10","DOIUrl":"https://doi.org/10.18048/2020.58.10","url":null,"abstract":"This paper presents an overview of challenges related to information management in reverse logistics and an overview of selected disruptive technologies (Internet of Things, Blockchain, Cloud computing and Artificial intelligence) that improve information management and information flow in the reverse logistics chain. The theoretical background of reverse logistics and selected disruptive technologies is provided. The goal of this paper is to research how information management in reverse logistics can be improved through the use of disruptive technologies. The research problem results from increased costs and insufficient prediction accuracy in the reverse logistics chain.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128196055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Migrant crisis which escalated in 2015 represents humanitarian and security challenge for European Union (EU) member states. Protection of the EU outer borders, as well as national one, has become priority task for all EU member states in order to preserve their political and cultural identity. This paper analyses the Croatian Navy (CN) capabilities in case of the migrant crisis escalation at sea, in order to protect national waters. The expected effect is to indicate that, considering their capabilities and experience, the Croatian Navy is capable of fulfilling the mission. Authors of the article investigated potential security threats in the area of responsibility of the Croatian Navy. This paper presents the possibility of an efficient response to possible challenges.
{"title":"Readiness of the Croatian Navy in Case of Migrant Crisis Escalation at Sea","authors":"T. Sunko, Luka Minahović, Ivica Kodžoman","doi":"10.18048/2020.00.07","DOIUrl":"https://doi.org/10.18048/2020.00.07","url":null,"abstract":"Migrant crisis which escalated in 2015 represents humanitarian and security challenge for European Union (EU) member states. Protection of the EU outer borders, as well as national one, has become priority task for all EU member states in order to preserve their political and cultural identity. This paper analyses the Croatian Navy (CN) capabilities in case of the migrant crisis escalation at sea, in order to protect national waters. The expected effect is to indicate that, considering their capabilities and experience, the Croatian Navy is capable of fulfilling the mission. Authors of the article investigated potential security threats in the area of responsibility of the Croatian Navy. This paper presents the possibility of an efficient response to possible challenges.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Small naval vessels are equipped with high- and medium-speed engines with low diagnostic compliance. Faults in fuel installations are the most common cause of failure or inability to perform operational scenarios adequately. Identification of injector damage is severe as small engines are not equipped with indicators and thermocouples to measure the overall exhaust gas temperature in the exhaust manifold. The paper presents a vibration method for assessing the technical condition of a fuel installation. The proposed method is non-invasive and allows the indication of a damaged injector within a relatively short time. The paper presents simulation results verified with stand-bed tests. The research aimed to show the sensitivity and uniqueness of vibration symptoms to changes in the technical condition of fuel injection pumps. The conducted experiment confirmed the possibility of using vibration tests in the professional diagnostics of the fuel installation. These results are essential for the use of marine engines that do not have indicator valves.
{"title":"A Non-invasive Method of Marine Engines Fuel System Diagnostics","authors":"Andrej Grzadziela, Marcin Kluczyk","doi":"10.18048/2020.00.29","DOIUrl":"https://doi.org/10.18048/2020.00.29","url":null,"abstract":"Small naval vessels are equipped with high- and medium-speed engines with low diagnostic compliance. Faults in fuel installations are the most common cause of failure or inability to perform operational scenarios adequately. Identification of injector damage is severe as small engines are not equipped with indicators and thermocouples to measure the overall exhaust gas temperature in the exhaust manifold. The paper presents a vibration method for assessing the technical condition of a fuel installation. The proposed method is non-invasive and allows the indication of a damaged injector within a relatively short time. The paper presents simulation results verified with stand-bed tests. The research aimed to show the sensitivity and uniqueness of vibration symptoms to changes in the technical condition of fuel injection pumps. The conducted experiment confirmed the possibility of using vibration tests in the professional diagnostics of the fuel installation. These results are essential for the use of marine engines that do not have indicator valves.","PeriodicalId":366194,"journal":{"name":"Journal of Maritime & Transportation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133903691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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