Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network

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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Bibliographic Details
Main Authors: Mohamed AMRANI, Djamel BENAZZOUZ
Format: Article
Language:English
Published: University of Zielona Góra 2025-06-01
Series:International Journal of Applied Mechanics and Engineering
Subjects:
bayesian network
artificial intelligence
pharmaceutical standard requirements
air compressor (oil free)
industrial diagnosis and prognostic
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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