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Syed Safdar Hussain and Syed Sajjad Haider Zaidi
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin...
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Mohammed Baz
The aviation industry is one of the fastest-growing sectors and is crucial for both passenger transport and logistics. However, the high costs associated with maintenance, refurbishment, and overhaul (MRO) constitute one of the biggest challenges facing ...
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Tarek Berghout, Mohamed-Djamel Mouss, Leïla-Hayet Mouss and Mohamed Benbouzid
Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adapt...
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Zhe Sun, Haoyang Li, Yan Bao, Xiaolin Meng and Dongliang Zhang
Timely risk information acquisition and diagnosis during foundation pit excavation (FPE) processes are vital for ensuring the safe and effective construction of underground urban infrastructures. Unfortunately, diverse geological and hydrogeological cond...
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Kang Wang, Zhi-Jiang Xu, Yi Gong and Ke-Lin Du
Vibration signal analysis is the most common technique used for mechanical vibration monitoring. By using vibration sensors, the fault prognosis of rotating machinery provides a way to detect possible machine damage at an early stage and prevent property...
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Elena Quatrini, Francesco Costantino, Xiaochuan Li and David Mba
In the industrial panorama, many processes operate under time-varying conditions. Adapting high-performance diagnostic techniques under these relatively more complex situations is urgently needed to mitigate the risk of false alarms. Attention is being p...
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Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, Si Thu Aung, Asif Karim and Sami Azam
The uncommon illness known as monkeypox is brought on by the monkeypox virus. The Orthopoxvirus genus belongs to the family Poxviridae, which also contains the monkeypox virus. The variola virus, which causes smallpox; the vaccinia virus, which is used i...
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Maicon Herverton Lino Ferreira da Silva Barros, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, Elisson da Silva Rocha, João Fausto Lorenzato de Oliveira, Theo Lynn, Vanderson Sampaio and Patricia Takako Endo
Tuberculosis (TB) is an airborne infectious disease caused by organisms in the Mycobacterium tuberculosis (Mtb) complex. In many low and middle-income countries, TB remains a major cause of morbidity and mortality. Once a patient has been diagnosed with ...
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Andrey Pavlov
Pág. 9 - 13
This article is the second part of the article "Optimal Linear Forecast". The results of this article continue the study of optimal linear projections in three-dimensional space from the point of view of comparing the lengths in two different metrics giv...
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Andrey Pavlov
Pág. 8 - 12
In the article, we consider the speed-up algorithm of linear prognosis of the (n+1)-th random value by the first n known values. The values are uncentred and unstationary. The result we obtain with the help of a new scalar production in the linear subspa...
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Joaquim Carreras, Yara Y. Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Sawako Shiraiwa, Rifat Hamoudi, Kiyoshi Ando and Naoya Nakamura
Objective: We have recently identified using multilayer perceptron analysis (artificial intelligence) a set of 25 genes with prognostic relevance in diffuse large B-cell lymphoma (DLBCL), but the importance of this set in other hematological neoplasia re...
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Andrea Nesci, Andrea De Martin, Giovanni Jacazio and Massimo Sorli
Recent trend in the aeronautic industry is to introduce a novel prognostic solution for critical systems in the attempt to increase vehicle availability, reduce costs, and optimize the maintenance policy. Despite this, there is a general lack of literatu...
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Riham Ginzarly, Ghaleb Hoblos and Nazih Moubayed
Due to the accelerating pace of environmental concerns and fear of the depletion of conventional sources of energy, researchers are working on finding renewable energy sources of power for different axes of life. The transportation sector has intervened ...
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Antoni Escobet, Teresa Escobet, Joseba Quevedo and Adoración Molina
This paper proposes a sensor-data-driven prognosis approach for the predictive maintenance of a liquefied natural gas (LNG) satellite plant. By using data analytics of sensors installed in the satellite plants, it is possible to predict the remaining tim...
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Daniel Toth,Lenka Kucírková
Pág. 730 - 736
The article is focused on employment policy in the Czech Republic, its success and development, stated goals, and whether it is possible to reach 75% employment by 2020. In the context of comparison with another country, Austria has been chosen. Total em...
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Valeriu Lupu
Pág. 195 - 207
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Laia Subirats, Luigi Ceccaroni and Felip Miralles
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Saima Bhatti, Asif Ali Shaikh, Asif Mansoor and Murtaza Hussain
Machinery components undergo wear and tear over time due to regular usage, necessitating the establishment of a robust prognosis framework to enhance machinery health and avert catastrophic failures. This study focuses on the collection and analysis of v...
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Ruosen Qi, Jie Zhang and Katy Spencer
This paper presents an up-to-date review of data-driven condition monitoring of industrial equipment with the focus on three commonly used equipment: motors, pumps, and bearings. Firstly, the general framework of data-driven condition monitoring is discu...
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Xinghui Li, Yang Yu, Cheng Zheng, Yue Zhang, Chuandao Shi, Lei Zhang and Hui Qiao
Studies on the prognostic significance of preoperative radiotherapy (PERT) and postoperative radiotherapy (PORT) in patients with advanced gastric cancer (GC) remain elusive. The aim of the study was to evaluate the survival advantage of preoperative and...
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