Semantic correlation for alarms classification in maintenance process

In the scope of maintenance process, alarms triggering and management is an important issue that diagnosis assistance system must take into account. Alarms floods have always been serious risks in monitoring problem, where is overwhelm operators with large amount of alarm messages and different parameters in a short period of time. Consequently, without a useful alarm’s management, diagnosticate the alarm on fly become a very hard task for maintenance operators. In order to improve alarms’ management, we elaborate in this work an approach allowing the classification of alarms according to the failed equipment and using past event traces. In this context, we studied various methodologies of problem discovering and classification. Hence, we provide in this work a comparative analysis of Meta-heuristic optimization techniques using knowledge capitalization extracted thanks to an ontology. The proposed approach has been tested on a real industrial data. The obtained results are encouraging

Assessing the Wind Power Potential in Naama, Algeria to Complement Solar Energy through Integrated Modeling of the Wind Resource and Turbine Wind Performance

In the context of the escalating global climate crisis and the urgent need for sustainable energy solutions, this study explores the integration of wind energy as a supplementary source to solar photovoltaic energy in Naama, Algeria. The research utilizes a decade-long anemometric dataset, along with concurrent solar radiation data, to investigate the potential of harnessing wind energy, particularly during periods of low solar irradiance. Employing advanced statistical methods, including the Weibull distribution, the study assesses the wind power generation potential of a 2 kW/day turbine. The research highlights an average evening increase in wind speeds, which inversely correlates with the diminished solar energy production after sunset. This seasonal pattern is further substantiated by a significant negative correlation between wind speed and solar radiation for most of the year (January to May and September to December), with Pearson coefficients ranging from −0.713 to −0.524 (p < 0.05). However, the study also notes an absence of a notable correlation during the summer months (June to August) attributed to seasonal wind variations and the peak of solar irradiance. These findings confirm Naama as an ideal location for integrated renewable energy systems, thereby demonstrating the natural synergy between solar and wind energy. This synergy is particularly effective in mitigating the intermittency of solar power, thus highlighting the potential of wind energy during periods of low solar activity

Characterization of Actinomycetes Strains Isolated from Cheliff Estuary in the North-West of Algeria

This study focused on the investigation of Actinomycetes strains isolated from sediment sample of Cheliff River estuary in Mostaganem (North-west of Algeria). Identification of the 5 strains of Actinomycetes isolated from sediments by morphological, biochemical methods and by16S rRNA gene sequence analysis revealed that four strains belonged to the genus Streptomyces and one - to the genus Nocardia. No strains of Actinomycetes were isolated from water samples. The optimum growth of all strains was recorded between 28°C and 30°C and at pH 7-9. All strains had halotolerant and mesophile behavior except SSG which grew very well at 45°C and could be considered as thermotolerant bacteria. Antibacterial activity was tested against five pathogenic bacteria as Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 6538, Salmonella typhi ATCC 9289, Bacillus subtilis ATCC 6633 and Pseudomonas aeruginosa ATCC 2785. All isolated strains exhibited an inhibitory activity against at least one human pathogenic bacterium. Streptomyces sp. strain SSG showed antibacterial effect against four pathogenic tested bacteria followed by Streptomyces sp. SSB1, Streptomyces sp. SSM and Nocardia sp. NSR. This study revealed that Cheliff River estuary contains Actinomycete species (Streptomyces and Nocardia) with proved antibacterial activity and could be a new source for isolation of antibiotic producing bacteria against human pathogenic bacteri