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Diesel Engine Fault Diagnosis Based on Convolutional Autoencoder Using Vibration Signals
AbstractThe diesel engine is the power source and core equipment of large mechanical systems such as ships. Thus, the engine must be maintained in...
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Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics
Fault diagnosis is required to ensure the safe operation of various equipment and enables real-time monitoring of associated components. As a result,...
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Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T)
In the case of the fuzzy correlation between variables of faults due to the complex monitoring information of diesel engines, neither Mahalanobis...
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Comparison of Diesel and Green Ship Carbon Emissions with A-Star Route Optimization
Approximately 2% of the world's carbon dioxide (CO2) emissions are attributed to international ship**, with the main source of carbon emissions... -
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines
The paper proposes a hybrid machine learning framework along with a hierarchical control module for fault diagnosis, isolation, and mitigation to... -
Design of Marine Buoy Profile Information Monitoring System Based on Machine Vision
Based on the comprehensive investigation of the existing marine information platform, this paper puts forward an architecture model of the electronic... -
Propagation Characteristics of LoRa-Based Wireless Communication in Steel Ship Cabin
The deployment of wireless sensor network in ship application traditionally relies on human experience and lack of theoretical analysis so far. Based... -
Deep Learning-based Image Analysis Method for Estimation of Macroscopic Spray Parameters
Spray strategies contribute to the overall engine efficiency, combustion process, and reduction of pollutant formation in internal combustion engines...
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Research on visual 3D assembly process design and simulation for marine diesel engine
In view of the backward traditional assembly process design model in shipbuilding industry, the research on the visual assembly process design and...
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A human reliability assessment of marine auxiliary machinery maintenance operations under ship PMS and maintenance 4.0 concepts
Maintenance is one of the core technical aspects on board ships, which is required for the ready availability, reliability, and efficiency of...
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Two layer-based trajectory analysis of the research trend in automotive fuel industry
The increasing concern of climate change and unstable oil prices induce the development of technological fuel in automobile industry. To investigate...
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Enhanced Oxygen Demand Prediction in Effluent Re-actors with ANN Modeling
The amount of oxygen present in water, known as Dissolved Oxygen (DO), is impacted by a range of physical, chemical, and biological factors. This... -
A Study on Ports’ Emissions in the Adriatic Sea
Environmental sustainability and energy efficiency are some of the most challenging objectives to be pursued in port areas. In this context, the... -
The Logistic Carbon Footprint: A Dynamic Calculation Tool for an Indicator of the Sustainability of Logistic Processes with a Case Study on the Port of Trieste
Quantifying the emissions produced along different supply chains is an extremely difficult challenge. However, carbon-based emissions generated by... -
An Optimized Method for Turbocharged Diesel Engine EGR Performance Evaluation
The purpose of this study is to propose a multi-objective decision making optimization method based on subjective and objective empowerment... -
GPenSIM: Present and Future
This chapter starts with some advantages and disadvantages of using GPenSIM. Then, this chapter presents some well-known applications of GPenSIM for... -
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Ship**
The maritime industry is under pressure to increase energy efficiency for climate change mitigation. Navigational data, combining vessel operational... -
A novel approach for marine diesel engine fault diagnosis
This paper proposes a novel approach for marine diesel engine fault diagnosis based on data mining. First, a marine diesel engine is divided into...
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Performance Analysis on a Coupled System of Gas Turbine and Air Cycle Driven by the Waste Heat of Flue Gas
In this work, a novel gas-air combined cycle of power generation system is proposed to enhance the generation capability of gas turbines, which uses... -
A comprehensive survey on NSGA-II for multi-objective optimization and applications
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-II) has attracted extensive research interests, and it is...