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Development of a Digital Twin Driven by a Deep Learning Model for Fault Diagnosis of Electro-Hydrostatic Actuators
(MDPI, 2024)
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Marmolejo Saucedo, José Antonio
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Köse, Utku
The first quarter of the 21st century has witnessed many technological innovations in various sectors. Likewise, the COVID-19 pandemic triggered the acceleration of digital transformation in organizations driven by artificial intelligence and communication technologies in Industry 4.0 and Industry 5.0. Aiming at the construction of digital twins, virtual representations of a physical system allow real-time bidirectional communication. This will allow the monitoring of operations, identification of possible failures, and decision making based on technical evidence. In this study, a fault diagnosis solution is proposed, based on the construction of a digital twin, for a cloud-based Industrial Internet of Things (IIoT) system contemplating the control of electro-hydrostatic actuators (EHAs). The system was supported by a deep learning model using Long Short-Term Memory (LSTM) networks for an effective diagnostic approach. The implemented study considers data preparation and integration and system development and application to evaluate the performance against the fault diagnosis problem. According to the results obtained, positive results are shown in the construction of the digital twin using a deep learning model for the fault diagnosis problem of an active EHA-IIoT configuration. ©The authors ©MDPI.
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Technical efficiency of thermal power units through a stochastic frontier
(Universidad Nacional de Colombia, Facultad de Minas, 2015)
Marmolejo Saucedo, José Antonio
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Cedillo-Campos, Miguel Gastón
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Salazar-Martínez, María Soledad
This work presents a model to obtain a stochastic frontier production function of a Mexican power generation company. The stochastic frontier allows us to evaluate the technical efficiency of an energy producer according of the level of inputs. Electricity generation based on thermal generation is highly expensive due to operational inefficiency of thermal power plants. At the moment, in Mexico, technical efficiency of thermal power units has not been studied for the national electricity system. Therefore, in order to know the productivity levels of thermal generation, an empirical application of the stochastic frontier model is obtained using a panel data of thermoelectric units from the Mexican electricity system for the 2009-2013. © The author; licensee Universidad Nacional de Colombia
Scopus© Citations 1 9
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Short-term generation planning by primal and dual decomposition techniques
(Universidad Nacional de Colombia, Facultad de Minas, 2015)
Marmolejo Saucedo, José Antonio
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This paper addresses the short-term generation planning (STGP) through thermoelectric units. The mathematical model is presented as a Mixed Integer Non Linear Problem (MINLP). Several works on the state of art of the problem have revealed that the computational effort of this problem grows exponentially with the number of time periods and number of thermoelectric units. Therefore, we present two alternatives to solve a STGP based on Benders’ partitioning algorithm and Lagrangian relaxation in order to reduce the computational effort. The proposal is to apply primal and dual decomposition techniques, which exploit the structure of the problem to reduce solution time by decomposing the STGP into a master problem and a subproblem. For Benders’ algorithm, the master problem is a Mixed Integer Problem (MIP) and for the subproblem, it is a Non Linear Problem (NLP). For Lagrangian relaxation, the master problem and the subproblem are MINLP. The computational experiments show the performance of both decomposition techniques applied to the STGP. These techniques allow us to save computation time when compared to some high performance commercial solvers. ©Universidad Nacional de Colombia: Facultad de Minas, Los autores.
Scopus© Citations 2 7
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Fat Tail Model for Simulating Test Systems in Multiperiod Unit Commitment
(2015)
Marmolejo Saucedo, José Antonio
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This paper describes the use of Chambers-Mallows-Stuck method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study that focused on generating test electrical systems through fat tail model for unit commitment problem in electrical power systems is presented. Usually, the instances of test systems in Unit Commitment are generated using normal distribution, but in this work, simulations data are based on a new method. For simulating, we used three original systems to obtain the demand behavior and thermal production costs. The estimation of stable parameters for the simulation of stable random variables was based on three generally accepted methods: (a) regression, (b) quantiles, and (c) maximum likelihood, choosing one that has the best fit of the tails of the distribution. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems.
Scopus© Citations 9 20
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Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps
(Springer, 2023)
Ganesan, Timothy
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Marmolejo Saucedo, José Antonio
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Vasant, Pandian
In quantum information theory, entanglement distillation is a key component for designing quantum computer networks and quantum repeaters. In this work, the practical entanglement distillation problem is re-designed in a bilevel optimization framework. The primary goal of this work is to propose and test an effective optimization technique that combines evolutionary algorithms (differential evolution) and the Chialvo map - for solving the bilevel practical entanglement distillation problem. The primary idea is to leverage on the complex dynamical behavior of Chialvo maps to improve the optimization capabilities of the evolutionary algorithm. Analysis on the computational results and comparisons with a standard evolutionary algorithm implementation is presented. ©2023 springer, The authors.
Scopus© Citations 1 50
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Design of a Distribution Network Using Primal-Dual Decomposition
(2016)
Marmolejo Saucedo, José Antonio
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Cruz-Mejía, Oliverio
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Saucedo-Martínez, Jania Astrid
A method to solve the design of a distribution network for bottled drinks company is introduced. The distribution network proposed includes three stages: manufacturing centers, consolidation centers using cross-docking, and distribution centers. The problem is formulated using a mixed-integer programming model in the deterministic and single period contexts. Because the problem considers several elements in each stage, a direct solution is very complicated. For medium-to-large instances the problem falls into large scale. Based on that, a primal-dual decomposition known as cross decomposition is proposed in this paper. This approach allows exploring simultaneously the primal and dual subproblems of the original problem. A comparison of the direct solution with a mixed-integer lineal programming solver versus the cross decomposition is shown for several randomly generated instances. Results show the good performance of the method proposed.
Scopus© Citations 8 10
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A proposed method for design of test cases for economic analysis in power systems
(Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología, 2015)
Marmolejo Saucedo, José Antonio
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Nowadays, in power systems, we still lack the existence of standardized test systems that can be used to benchmark the performance and solution quality of proposed optimization techniques. Several authors report that the electric load pattern is very complex. It is therefore necessary to develop new methods for design of test cases for economic analysis in power systems. Therefore, we compared two methods to generate test systems: time series model and a method simulating stable random variables based on the use of Chambers-Mallows-Stuck. This paper describes a method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study focused on generating test electrical systems through stable distribution to model for unit commitment problem in electrical power systems. Usually, the instances of test systems in unit commitment are generated using normal distribution, but the behavior of electrical demand does not follow a normal distribution; in this work, simulation data are based on a new method. For empirical analysis, we used three original systems to obtain the demand behavior and thermal production costs. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems directly and through the Lagrangian relaxation of the original problem. All Rights Reserved © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.
Scopus© Citations 2 15
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A Strategy to Analyze the Metal Packaging Market in the Food Cans Industry Using Agent-Based Simulation
(Springer, 2024-01-01)
Chaverra Vargas, Luis F.
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Marmolejo Saucedo, José Antonio
Companies that manufacture metal packaging for canned jalapeño peppers require forecasts to determine the amounts of inventory needed to meet customer demand and anticipate sales opportunities. The nature of jalapeño pepper production depends on factors such as planting, harvesting, seasonality, pests, and climate change, among others, which generate a lot of uncertainty when estimating the needs of the client. The purpose of this research is to solve the problem of having a simple and more accurate forecast of jalapeño pepper availability in the market for the metal packaging business. Forecasts are currently based on historical data; the adjustment of these predictions does not always follow sudden changes in the data, and for this reason, there are other more complex methods, which use mathematics, where it seems that a mathematical expert is needed more than an expert in the business where the forecasting tool is used. Agent-based simulation allows the development of interaction rules between the different market agents, which, in a dynamic and flexible way, allows the development of simple models with complex behaviors where there are no formulas that govern them and allow interaction between them. The ABS model provides more details about the behavior of the jalapeño pepper crop, compared to the models evaluated in this chapter, which are based on equations.
39 1
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A State of the Art of Non-fungible Tokens: A Literature Review
(Springer, 2024-01-01)
Cattori Krähenbühl, Joan
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Marmolejo Saucedo, José Antonio
Non-fungible tokens, also known as NFTs, are based on the blockchain and are a type of proprietary digital asset registered on the blockchain, making them unique, irreplaceable, and indivisible assets. This main feature makes up the nascent and emerging phenomenon that has revolutionized the way digital assets are and will be handled in the future. Its success and importance has resonated particularly in the first and second quarter of 2022, and however, the full application and reach of NFTs through its technology in human life are still yet to be discovered. The main objective of this chapter is to inform the audience of developments in the research field, discuss the importance and significance of the issues investigated to analyze the relevance and suitability of the topic in order to inform the audience about its operations, and generate, through the NFTs, economical value and further knowledge for future applications. This is the reason why a systematic review of the literature on the subject of “non-fungible tokens” is carried out based on publications of Scopus indexed journals, with a collection of information from 2017 to 2022.
42 1
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Selecting the Distribution System using AHP and Fuzzy AHP Methods
(Springer Nature, 2024)
Saucedo-Martínez, Jania Astrid
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Salais-Fierro, Tomás Eloy
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Marmolejo Saucedo, José Antonio
In this research, we present a supporting tool for decision making by designing a distribution system for a trading company of supplies for the welding industry in Mexico. The case study encompasses a distribution system with shortage problems and poor fleet capacity. To address these problems, improvement options were grouped into three possible scenarios through a third-party logistics (3PL) service. Furthermore, for the evaluation and selection of one of the scenarios, the Analytic Hierarchy Process (AHP) methodology was proposed integrating fuzzy logic as a tool for decision making, including factors of uncertainty and subjectivity as well as a comparison with traditional AHP obtaining the best scenario, meeting the requirements of the company, and showing potential improvements in the desired service level for its distribution system. © 2024 Springer Nature
Scopus© Citations 3 8 1

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