Papers by Mabel Olanipekun
International Conference on Intelligent and Innovative Computing Applications
Industry 4.0 places a strong emphasis on connection, automation, machine learning and real-time d... more Industry 4.0 places a strong emphasis on connection, automation, machine learning and real-time data. With these descriptions, intelligent/smart manufacturing that incorporates people, technology, and other resources has undergone a significant revolution leading the globe to the new era of Industry 5.0. Responding to disruption by employing intuition to decide what to do in a changing circumstance has grown to be highly attractive and exciting, even when it has never been utilized before. The domains of modern intelligent systems and computers have also made major strides in recent years. Examples include soft computing, computational intelligence, which encompasses evolutionary computing, neural networks, fuzzy systems, and the fusion of various paradigms. Others include immune-based systems, ambient intelligence, cognitive science, computational neuroscience and systems, perspective and vision, DNA, intelligent decision-making, and support etc. This technological breakthrough has...
Journal of Engineering and Applied Science
When condition-based maintenance (CBM) is combined with proper decision support systems, it leads... more When condition-based maintenance (CBM) is combined with proper decision support systems, it leads to enhanced utilization of resources and increased productivity which tends towards business efficiency. The forecasting of the future condition, the remaining operating life, or probability of stable system behavior, based on data from acquired condition monitoring is referred to as prognosis which is an important part of the CBM process. Despite auto-regression integrated moving average (ARIMA) time series modeling, being long established and dating back to the 1960s, it has surged through new advances over the years and is now recognized as a major forecasting technique. Its application is therefore investigated here in the context of the FEMTO–ST Institute (Franche-Comté Électronique Mécanique Thermique et Optique-Sciences et Technologies) bearing dataset. The work discussed in this article uses a time series approach which contributes to modeling and forecasting the remaining usefu...
Non Coding of Big Dataset and the use of Neural Network Regression Artificial Intelligence Model in Azure for Predicting the Remaining Useful Life (RUL) of Bearing
2019 IEEE AFRICON
In this paper a non-coding method for analyzing big data without the use of Hadoop, Hive, Pig, et... more In this paper a non-coding method for analyzing big data without the use of Hadoop, Hive, Pig, etc. was demonstrated with the use of Neural Network regression (NNR) for predicting the remaining useful life (RUL) of a bearing. Using these nonlinear nonparametric approach to predict the RUL of a bearing is intuitively appealing. The applications of NNR model have surged over the years that it has now been recognized as a major forecasting technique in a forecaster's toolbox hence, its application here on the NASA FEMTO BEARING DATASET. The motivation for this paper is to check if without using the normal big dataset, structuring the NNR models would add value in its applications. Although comparing this results is worth doing, the ultimate decision remains with NASA FEMTO as we are checking our result against their obtained experimental value which is in their archive. In the end, for the time series concerned, we clearly showed that NNR models do indeed add value in the forecasting process and we hope that our predicted RUL for the dataset of NASA FEMTO provided which they want a predicted result is accepted within a close range.
This paper presents detection of fault prognostics in bearings with the application of extended t... more This paper presents detection of fault prognostics in bearings with the application of extended takagi-sugeno fuzzy recursive least square algorithms (extsfrlsa). The nonlinear system is decomposed into a multimodel structure consisting of linear models that are not inherently independent, due to the fuzzy regions defined in extsfrlsa. The extsfrlsa was developed to tune, adjust and adapt the parameters involved in the propagation model, as it tends to update itself with the availability of new data. This method is suitable for on-line identification of systems because of its unsupervised learning pattern which dwells on mechanism centred on rule-based evolution. Scenarios considered for the rule-based modification and upgrade are quite diverse, thereby ensuring effective comparism of measured and predicted defect size. An estimation of the remaining useful life was determined successfully with the proposed method, showing that the system performance health indicator reflects bearin...
Overview of Sensor Analysis for Health Monitoring - An Expert System for Catfish Pond
IOP Conference Series: Materials Science and Engineering, 2021
Farming in Nigeria should grow away from its predominance in subsistence practice into majorly me... more Farming in Nigeria should grow away from its predominance in subsistence practice into majorly mechanized system of farming which implies moving to another dimension on the implementation processes. Farming has over a long time being subsistence for obvious reasons, the need for efficient health monitoring mechatronics devices in the area of fish farming become therefore necessary for effectiveness and efficiency. This paper presents an overview of the need of novel techniques and technological solutions for the problems confronting traditional fish farming in Nigeria. The paper also analyzed the application of sensors for instantaneous health monitoring of aquaculture system with special reference to catfish. The requirements and the exploits into the visibility of fibre optic sensor application in this regards with consideration to structural intelligence were critically analyzed. Fibre optics is a major building block in the mechatronic infrastructure, its high bandwidth capabili...
Department of Mechanical Engineering, Faculty of Engineering, Ikole-Ekiti Campus, Federal Univers... more Department of Mechanical Engineering, Faculty of Engineering, Ikole-Ekiti Campus, Federal University Oye-Ekiti, Nigeria 1Department of Electrical/Electronics Engineering, Federal University of Technology, Akure, Nigeria 2Department of Electrical/Electronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria 3Ondo State Ministry of Transport, Akure, Nigeria e-mail: bukola.bolaji@fuoye.edu.ng
Design And Construction Of A Smart Ultrasonic Walking Stick For The Visually Impaired
2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), 2021
In our society, blind people consist a wide number of individuals. In order to improve the qualit... more In our society, blind people consist a wide number of individuals. In order to improve the quality of life of a blind person, the smart cane was therefore created. This project aims to develop a smart cane for the blind with an ultrasonic sensor and an audio feedback system. This embedded system will mainly have two parts; the system of mobility and feedback. It was been fitted with an ultrasonic sensor for the mobility system, while the vibrating motor and audio input will provide input from the ultrasonic and the vibrating module. An Ultrasonic sensor was used to send the signal to the vibrating motor as soon as an obstacle is detected, which in turn triggers it. With audio feedback alerting the user of the presence of the obstacle, the vibrating motor vibrates with various strengths according to the distance of the obstacle. One major component incorporated into this embedded system is an ATmega328 single-chip microcontroller which was programed in the c language of which the original programing was written with Matlab. It involves the use of a convolution neural network which was trained on the CIFAR 10 dataset. This dataset was chosen because of its composition of images of objects likely to be found as obstacles on a blind man’s path. A 93.8% accuracy was obtained from an unsupervised learning on the data set, after which the C Matlab coder was used to translate the source code into C language for effective embedding into the ATmega328 microcontroller.
Journal of Cleaner Production, 2018
This paper analyses the major noise producing machines, the effects of the noise, its control met... more This paper analyses the major noise producing machines, the effects of the noise, its control methods and the extent of the utilisation of these methods by the Nigerian manufacturing companies. Nine companies were chosen as models to represent the overall manufacturing sectors in Nigeria. The noise produced by the various machines and equipment used in the production processes in the companies was analysed. Results obtained showed that electricity generating sets produced the highest noise, followed by air compressor, boiler, pressing machine and other machines put together, in that order. The results also revealed that more than half of the total effects of noise are on workers. The effects of noise on workers are more of physiological than psychological. It is recommended that engineering controls combined with administrative controls should be considered as the methods that will provide thorough and permanent solution to the noise problem in the manufacturing companies.
Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2017
Your article is protected by copyright and all rights are held exclusively by Shiraz University. ... more Your article is protected by copyright and all rights are held exclusively by Shiraz University. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".
Estimation of maximum power generated from CGIS Photovoltaic module under non-uniform conditions
Development of a Solar Photovoltaic Power System to Generate Electricity for Office Appliances
Engineering Journal, 2013
A Multi-Start Greedy Algorithm for Optimal Reconfiguration of Solar Photovoltaic Arrays for Maximum Power Output in Real-Time Application
International Review of Electrical Engineering (IREE), 2017
In this paper, a method for solving the problem of the optimal configuration of PV panels during ... more In this paper, a method for solving the problem of the optimal configuration of PV panels during connectivity under real-time operating conditions for maximum power output in large PV installations is presented. The problem considers the optimal configuration of the PV panels during connectivity based on the choice of panels in series and in parallel. The optimal configuration problem is a non-linear mixed integer problem where the number of 0-1 integer variables is equal to the product of the number of panels and the number of subsets where the panels have to be assigned. This makes it difficult to be solved in real-time for reconfiguring the connection of panels. In this work, a local search greedy algorithm is proposed to allow a fast solution of the problem in real-time which necessitates the formulation of a fast linear solver. Finally, the proposed solution is validated through simulation.
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Papers by Mabel Olanipekun