12 documents found, page 1 of 2
Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and ...
Martins, Alexandre; Mateus, Balduíno; Fonseca, Inácio; Farinha, José Torres; Rodrigues, João; Mendes, Mateus; Cardoso, António MarquesThe maintenance paradigm has evolved over the last few years and companies that want to remain competitive in the market need to provide condition-based maintenance (CBM). The diagnosis and prognosis of the health status of equipment, predictive maintenance (PdM), are fundamental strategies to perform informed maintenance, increasing the company’s profit. This article aims to present a diagnosis and prognosis m...
Online Monitoring of Sensor Calibration Status to Support Condition-Based Maint...
Martins, Alexandre; Fonseca, Inácio; Farinha, José Torres; Reis, João; Cardoso, António J. MarquesCondition-Based Maintenance (CBM), based on sensors, can only be reliable if the data used to extract information are also reliable. Industrial metrology plays a major role in ensuring the quality of the data collected by the sensors. To guarantee that the values collected by the sensors are reliable, it is necessary to have metrological traceability made by successive calibrations from higher standards to the ...
Study of the Condition of Forest Fire Fighting Vehicles
Silva, Filipe; Raposo, Jorge; Farinha, José Torres; Raposo, Hugo; Reis, LuísThe Forest Fire Fighting Vehicle (FFFV) is one of the most important pieces of equipment in direct firefighting; therefore, its maintenance is strategic to guarantee high levels of reliability. The history of interventions is essential to support the increase in the quality of maintenance, namely with regard to the specificity of each equipment, in its actual operating conditions. In the absence of previous inf...
Improved GRU prediction of paper pulp press variables using different pre-proce...
Mateus, Balduíno César; Mendes, Mateus; Farinha, José Torres; Marques Cardoso, António; Assis, Rui; Soltanali, HamzehPredictive maintenance strategies are becoming increasingly more important with the increased needs for automation and digitalization within pulp and paper manufacturing sector.Hence, this study contributes to examine the most efficient pre-processing approaches for predicting sensory data trends based on Gated Recurrent Unit (GRU) neural networks. To validate the model, the data from two paper pulp presses wit...
Forecasting Steel Production in the World—Assessments Based on Shallow and Deep...
Mateus, Balduíno César; Mendes, Mateus; Farinha, José Torres; Cardoso, António J. Marques; Assis, Rui; Costa, Lucélio M. daForecasting algorithms have been used to support decision making in companies, and it is necessary to apply approaches that facilitate a good forecasting result. The present paper describes assessments based on a combination of different neural network models, tested to forecast steel production in the world. The main goal is to find the best machine learning model that fits the steel production data in the wor...
Stochastic versus Fuzzy Models: a Discussion Centered on the Reliability of an ...
Pinto, Constâncio António; Farinha, José Torres; Raposo, Hugo; Galar, DiegoThis paper discusses the Reliability, Availability, Maintainability, and Safety (RAMS) of an electrical power supply system in a large European hospital. The primary approach is based on fuzzy logic and Petri nets, using the CPNTools software to simulate and determine the most important modules of the system according to the Automatic Transfer Switch. Fuzzy Inference System is used to analyze and assess the rel...
Increasing the Reliability of an Electrical Power System in a Big European Hosp...
Pinto, Constâncio António; Farinha, José Torres; Singh, Sarbjeet; Raposo, HugoThe big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator s...
Contributions of Petri Nets to the Reliability and Availability of an Electrica...
Pinto, Constâncio António; Farinha, José Torres; Singh, SarbjeetThe energy power supply infrastructure of a hospital, to function correctly, needs to be well maintained to ensure its reliability and, by consequence, the maximum integrated availability. In this paper, the authors propose the use of Petri Nets to help the improvement of the electric power system reliability, having as a case study a big European Hospital. The purpose of the research is to identify and analyse...
Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study
Martins, Alexandre; Fonseca, Inácio de Sousa Adelino da; Farinha, José Torres; Reis, João; Cardoso, António J. MarquesThe availability maximization is a goal for any organization because the equipment downtime implies high non-production costs and, additionally, the abnormal stopping and restarting usually imply loss of product’s quality. In this way, a method for predicting the equipment’s health state is vital to maintain the production flow as well as to plan maintenance intervention strategies. This paper presents a mainte...
Optimizing the Life Cycle of Physical Assets through an Integrated Life Cycle A...
Pais, José Edmundo de Almeida; Raposo, Hugo D. N.; Farinha, José Torres; Cardoso, Antonio J. Marques; Marques, Pedro AlexandreThe purpose of this study was to apply new methods of econometric models to the Life Cycle Assessment (LCA) of physical assets, by integrating investments such as maintenance, tech-nology, sustainability, and technological upgrades, and to propose a means to evaluate the Life Cycle Investment (LCI), with emphasis on sustainability. Sustainability is a recurrent theme of existing studies and will be a concern in...