Institutional repository of university M'Hamed Bougara Boumerdes
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13163 research outputs found
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Kernel Principal Component Analysis Improvement based on Data-Reduction via Class Interval
No full textKernel Principal Component Analysis (KPCA) is an effective nonlinear extension of the Principal Component Analysis for fault detection. For large-sized data, KPCA may drop its detection performance, occupy more storage space for the monitoring model, and take more execution time in the online part. Reduced KPCA pre-processes the training data before applying the KPCA method, the proposed approach selects samples based on class interval to reduce the number of observations in the training data set while maintaining decent detection performance. This approach is applied to the Tennessee Eastman Process and then compared to some of the existing approaches.et al.International Federation of Automatic Control (IFAC) - Fault Detection, Supervision and Safety of Techn. Processes-SAFEPROCESS, TC 6.4International Federation of Automatic Control (IFAC) - TC 1.1. Modelling, Identification and Signal ProcessingInternational Federation of Automatic Control (IFAC) - TC 1.3. Discrete Event and Hybrid SystemsInternational Federation of Automatic Control (IFAC) - TC 4.2. Mechatronic SystemsInternational Federation of Automatic Control (IFAC) - TC 6.1. Chemical Process Contro
Automation of three-dimensional inspection using the iterative closest point algorithm: application to a gas turbine blade
No full textThis paper examines an innovative approach to the automated inspection of turbine blades in power generation systems. By integrating point cloud generated from computer-aided design (CAD) with iterative methods, this methodology aims to improve the efficiency and accuracy of the inspection process. The combination of theoretical blade geometry data, captured via CAD point clouds, with advanced algorithms derived from iterative methods, allows for a rapid assessment of the blade’s condition. This approach has the potential to reduce inspection times, increase assessment accuracy, and detect anomalies at an early stage. The paper explores in detail the key aspects of this method, including the creation and alignment of CAD point cloud with real blades, the application of iterative methods to detect degradation and anomalies, and the preliminary results obtained from specific case studies. However, challenges remain, such as the quality of input data and the need to develop iterative models specific to each application. Future prospects include the refinement of data capture techniques, the exploration of new iterative methods, and the integration of machine learning for even more advanced automation. Overall, this approach represents a significant advance in the field of industrial maintenance, enabling proactive and efficient management of turbine blade inspection and maintenance. It offers advantages in terms of cost, speed, and reliability for maintaining the sustainability and performance of power generation systems
Formal Modelling and Implementation of Clark-Wilson Security Policy with FoCaLiZe
No full textThe security of every system hinges on a robust policy that orchestrates controls to safeguard the confidentiality, integrity, and accessibility of information. Implementing such a policy requires meticulous formulation grounded in mathematical and logical precision. In this context, we present a formal modeling and implementation of the Clark-Wilson security method using the FoCaLiZe environment, a workshop equipped with certification capabilities, where programming is intertwined with formal proof. The proposed approach enables the specification of the Clark-Wilson policy constraints and security principles as properties and theorems within FoCaLiZe. Thanks to Zenon, the automatic theorem prover of FoCaLiZe, derived properties and theorems that ensure system safety can be checked and proven
Passage de la logique câblée à la logique programmée d’un système de fluidisation de «Silo»
No full text87 p. : ill. ; 30 cmLe Travail que nous avons effectué consiste à passer de la logique câblée vers la logique programmée afin de rendre le système de fluidisation de silo d’homogénéisation de la cimenterie de Ain-Touta (SCIMAT) plus performant, tout en améliorant les caractéristiques et éliminant les inconvénients actuels, Pour cela nous avons compris d’abord notre schéma de câblage puis réaliser notre programme sur TIA Portal afin de l’insérer dans un automate S7-1200. Nous avons aussi créé l’interface homme-machine (IHM) à l’aide de logiciel WinCC Runtime afin de visualiser le fonctionnement de notre système et mieux cerner les pannes
Fault Seal analysis for prospect de-risking in hydrocarbon exploration
No full text85 p. : ill. ; 30 cmL'Objectif de ce travail est de souligner la nécessité d'une analyse approfondie de la faille, y compris la compréhension des étanchéités de juxtaposition, où un réservoir est juxtaposé à une roche non réservoir, et des étanchéités de membrane, où un réservoir est juxtaposé à un autre réservoir. Il est donc nécessaire d'estimer le Shale Gouge Ratio (SGR), qui quantifie la proportion des argiles dans la zone de faille et influe sur la capacité de la faille à empêcher l'écoulement des fluides
From farm to cheeseboard: Harnessing the biopreserving performance and enhancing safety of Lactococcus lactis KJ660075 in goat's milk cheese
No full textThis study aimed to enhance the microbial quality and safety of fresh cheese using a bioprotective approach that involved Lactococcus lactis KJ660075 as a preservative. The research focused on monitoring the co-culture of this strain with Staphylococcus aureus ATCC25923 in fresh goat cheeses over 21 days. Results showed that S. aureus ceased growing in goat milk cheeses after 24 h and was completely undetectable at the end of storage which demonstrated a significant reduction compared to control samples. Statistical analysis further confirmed that low pH did not impact S. aureus growth, suggesting that inhibition was due to anti-staphylococcal substances accumulated in the cheese matrix. Thus, Lactococcus lactis KJ660075 has proven to be a means to enhance quality and improve cheese safety while preserving natural agricultural practices
Etude numérique et expérimentale du comportement dynamique pré et post impact des structures composites sandwich
No full text121 p. : ill. ; 30 cmCe document étudie expérimentalement et numériquement le comportement des structures sandwich renforcés par des feuilles de carbone et de verre, avec des âmes en nid d'abeille Nomex et en mousse PVC. Les panneaux en nid d'abeille avec renforts en carbone montrent une meilleure résistance à l'impact et à la flexion comparés à ceux renforcés en verre. L'approche numérique utilisée est précise et simple, permettant de prédire les mécanismes de
dommage de ces structures avec une bonne concordance avec les résultats expérimentaux
التوافقية في الكتابة اللسانية العربية الحديثة والمعاصرة – الحدود والآمال
No full textظهرت التوافقية اللسانية كاتجاه مع مفهوم اللسانيات التراثية، وقد انتهجه الباحثون العرب لغاية تجسيد الدرس اللساني العربي الحديث في الساحة اللسانية من خلال الجمع بين التراث اللغوي القديم،والمناهج الغربية الحديثة. وسعينا من خلال هذا الطرح النظر في الاتجاه التوافقي ومدى مساهمته في بناء درس لساني حديث. لكن هذا الاتجاه لم يأخذ بعده الصحيح من خلال تناول الباحثين العرب،إذ انطلقوا في مقارباتهم من جزئيات في طرحهم للمسائل، وانحيازهم لجهة على أخرى، فإما هي توافقية تميل للفكر الغربي، أو توافقية لكنها في الأصل تحاول إرجاع الذات للتراث اللغوي العربي القديم، مع عدم الإقرار عند الكثيرين بالاتجاه الذي ينحازون إليه، مثاله عبد الرحمان الحاج صالح المختلف فيه بين طلبته والباحثين في أعماله إن كان تراثيا أم توافقيا
Designing safety plc based gaz turbine protection system with integrated iiot solution
No full text82 p.The project aims to design a gas turbine protection system to ensure safe and reliable operation. It addresses risks such as vibrations, high temperatures, and over speed, meeting SIL2 safety requirements. The core of the system is the Bently Nevada 3500, which collects real-time data on vibrations, temperature, and speed. A safety PLC, the S7-1500, analyzes this data to initiate timely actions for turbine protection. A user-friendly Human-Machine Interface (HMI) and Supervisory Control and Data Acquisition (SCADA) system, powered by the WinCC runtime, are implemented. This allows opera-tors to visualize real-time data and make informed decisions about turbine performance. Additionally, an Industrial Internet of Things (IIoT) solution powered by Node-RED is integrated. Two instances of Node-RED are employed: one as a central hub for efficient data collection, processing, and storage, and another hosted on a cloud-based server for remote access and advanced data management.The system incorporates automatic notification svi aemai lan dTelegra mi nth eeven to f aturbin etrip ,ensurin gswif tre-sponse and effectiv emitigatio nmeasures .B yintegratin gadvance dtechnologies ,thi sgas turbine protection system offer scomprehensiv emonitoring ,control ,an dsafet yfeatures. It optimizes data processing, visualization, and remote access, ultimately enhancing turbine performance, ensuring operational integrity, and improving overall safety
PV power forecasting using machine learning with hyperparameter optimization
No full text96 pThe growing prominence of renewable energy, particularly photovoltaic (PV) power, neces-sitates accurate forecasting of PV power for both short and long-term horizons. Reliable forecasts are vital for effective decision-making and ensuring the stability of the electric grid.
This thesis endeavors to analyze and compare a range of machine learning-based forecasting methods as alternatives to classical statistical time series forecasting techniques.
Furthermore, the thesis presents a novel approach to hyperparameter tuning using meta-heuristic algorithms with Differential Evolution and Particle Swarm Optimization.
The models are evaluated based on their characteristics and performance, employing multiple metrics from existing literature. Additionally, a comparative study between different hy-perparameter tuning algorithms is conducted. The investigation encompasses two distinct datasets and encompasses single-step and multi-step forecasting horizons.
This thesis ap-proach involves employing models to forecast the global irradiance, which is subsequently used to predict the output power of PV systems. By decoupling the prediction process into two stages, this method offers potential advantages in terms of accuracy and reliability