Publications Internationales

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    Reliability, availability, maintainability, and dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation
    (2022) Kumar, Ashish; Saini, Monika; Rajkumar Bhimgonda, Patil; Sameer, Al-Dahidi; Mellal, Mohamed Arezki
    Reliability, Availability, Maintainability, and Dependability (RAMD) study of Tube-wells Integrated with Underground Pipelines (TIUP) is crucial as they are the backbone of the irrigation system. This study is carried out with an objective to perform RAMD analysis, and Failure Modes and Effects Analysis (FMEA) unified with the development of a novel stochastic model using Markovian approach to estimate the Steady-State Availability (SSA) of the TIUP. A real case study of a conventional TIUP system has been performed to validate theoretical and practical results of the proposed model. The failure and repair rates of all subsystems followed exponential distribution, and their impact on system/subsystem’s availability and other reliability measures has been investigated. All the repairs are perfect and random variables associated with failure and repair rates are statistically independent. The centrifugal pump and power supply units are the most critical components as far as reliability and maintainability aspects. The labor also plays a critical role in the operation of the TIUP system
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    Multi-objective system design optimization via PPA and a fuzzy method
    (Springer, 2021) Mellal, Mohamed Arezki; Salhi, Abdellah
    System design deals with various challenges oftargets and resources, such as reliability, availability,maintainability, cost, weight, volume, and configuration.This paper deals with the multi-objective system avail-ability and cost optimization of parallel–series systems byresorting to the multi-objective strawberry algorithm alsoknown as the Plant Propagation Algorithm or PPA and afuzzy method. It is the first implementation of this opti-mization algorithm in the literature for this kind of problemto generate the Pareto Front. The fuzzy method allowshelping the decision maker to select the best compromisesolution. A numerical case study involving 10 subsystemshighlights the applicability of the proposed approach