Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network
This paper presents a new approach of diagnosis and prognostic in real-time of strategic equipment of pharmaceutical industry. This approach is developed using Bayesian network (BN) which consider industrial data and feedback experience. The objective is to detect, locate and prevent any malfunction...
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| Format: | Article |
| Language: | English |
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University of Zielona Góra
2025-06-01
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| Series: | International Journal of Applied Mechanics and Engineering |
| Subjects: | |
| Online Access: | https://www.ijame-poland.com/Fault-Prediction-Of-Pharmaceutical-Air-Compressor-Using-The-Intelligent-Model-Based,195999,0,2.html |
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| _version_ | 1849334779550367744 |
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| author | Mohamed AMRANI Djamel BENAZZOUZ |
| author_facet | Mohamed AMRANI Djamel BENAZZOUZ |
| author_sort | Mohamed AMRANI |
| collection | DOAJ |
| description | This paper presents a new approach of diagnosis and prognostic in real-time of strategic equipment of pharmaceutical industry. This approach is developed using Bayesian network (BN) which consider industrial data and feedback experience. The objective is to detect, locate and prevent any malfunction of the air compressor (oil-free) without air contamination, dedicated to pharmaceutical industry, BEKER Laboratories (Dar El Beida-Algeria). The study is based on the functional analysis of the air compressor to obtain the fault tree (FT). This FT is transformed into BN to diagnose automatically the compressor and prevent any malfunctioning. |
| format | Article |
| id | doaj-art-86916fa905cf488a9063daf333b2c2e1 |
| institution | Kabale University |
| issn | 1734-4492 2353-9003 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of Zielona Góra |
| record_format | Article |
| series | International Journal of Applied Mechanics and Engineering |
| spelling | doaj-art-86916fa905cf488a9063daf333b2c2e12025-08-20T03:45:28ZengUniversity of Zielona GóraInternational Journal of Applied Mechanics and Engineering1734-44922353-90032025-06-01302203010.59441/ijame/195999195999Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian NetworkMohamed AMRANI0https://orcid.org/0009-0003-2863-9084Djamel BENAZZOUZ1Mechanical Engineering, M'Hamed Bougara Boumerdes University, AlgeriaMechanical Engineering, M'Hamed Bougara Boumerdes University, AlgeriaThis paper presents a new approach of diagnosis and prognostic in real-time of strategic equipment of pharmaceutical industry. This approach is developed using Bayesian network (BN) which consider industrial data and feedback experience. The objective is to detect, locate and prevent any malfunction of the air compressor (oil-free) without air contamination, dedicated to pharmaceutical industry, BEKER Laboratories (Dar El Beida-Algeria). The study is based on the functional analysis of the air compressor to obtain the fault tree (FT). This FT is transformed into BN to diagnose automatically the compressor and prevent any malfunctioning.https://www.ijame-poland.com/Fault-Prediction-Of-Pharmaceutical-Air-Compressor-Using-The-Intelligent-Model-Based,195999,0,2.htmlbayesian networkartificial intelligencepharmaceutical standard requirementsair compressor (oil free)industrial diagnosis and prognostic |
| spellingShingle | Mohamed AMRANI Djamel BENAZZOUZ Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network International Journal of Applied Mechanics and Engineering bayesian network artificial intelligence pharmaceutical standard requirements air compressor (oil free) industrial diagnosis and prognostic |
| title | Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network |
| title_full | Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network |
| title_fullStr | Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network |
| title_full_unstemmed | Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network |
| title_short | Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network |
| title_sort | fault prediction of pharmaceutical air compressor using the intelligent model based on the bayesian network |
| topic | bayesian network artificial intelligence pharmaceutical standard requirements air compressor (oil free) industrial diagnosis and prognostic |
| url | https://www.ijame-poland.com/Fault-Prediction-Of-Pharmaceutical-Air-Compressor-Using-The-Intelligent-Model-Based,195999,0,2.html |
| work_keys_str_mv | AT mohamedamrani faultpredictionofpharmaceuticalaircompressorusingtheintelligentmodelbasedonthebayesiannetwork AT djamelbenazzouz faultpredictionofpharmaceuticalaircompressorusingtheintelligentmodelbasedonthebayesiannetwork |