Browsing by Author "Lamia Benzaid"

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MODELING THE DEGRADATION OF VISCOSITY OF ENGINE OILS
(ICIC Express Letters, 2020-01) Nedjem Eddine Benchouia; Lamia Benzaid; Azzeddine Bouzaouit
In this paper, we present an analytical study to describe the monitoring and change in the condition of viscosity of lubricating oil used in combustion engines and exploited under very severe conditions. The objective is to determine the remaining lifetime of this oil. Stochastic methods in general are statistical methods that can be employed in predictive analysis, and they highly depend on probability theory. Markov models, in particular, make it possible to predict the degradation of the oil viscosity after a determined operating time. In these, degradation can be described by transition probabilities from one state to another. Knowing that Markov models are used to describe the transition probability to a new state (i) at time (t) based directly on the probability of the previous state (j) at time (t–1). In this context, we propose a Markov model to study the degradation law for the SAE 40 oil. The latter is designed for the lubrication of locomotives engines under the working conditions of a steel plant in Algeria. We have demonstrated that the proposed model gives detailed results describing the different conditions/states of the analyzed oil.
PREDICTION DU CHANGEMENT D'ETAT DE LA VISCOSITE DU LUBRIFIANT PAR LES CHAINES DE MARKOV
(5th International Conference on Maintenance and Industrial Safety CIMSI’2019, 2019-12-03) Lamia Benzaid; Nedjem Eddine Benchouia; Azzedine Bouzaouit
The quality of lubricating oil used in the engine plays an important role in extending engine life and improving engine performance. Viscosity is one of the major physicochemical factors of lubricant quality and effectiveness, Its ability to provide the effective thickness of the lubricating layer between the friction surfaces, which prevents severe wear and failure of engines. In this study, we presented the methodology which makes it possible to model the degradation of the viscosity of lubricating oils used in combustion engines, and which are operated in very severe conditions. For each oil studied, we propose to associate a Markov chain describing the transition of its viscosity from one state (i) to another state, Knowing that the viscosity of engine oils passes through the following states: good, admissible, degraded, very degraded. We have confirmed that the proposed model gives detailed results describing the different states of the oil analyzed.