Search Results - (( developing failure generation algorithm ) OR ( java implication based algorithm ))
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Scalable workflow scheduling algorithm for minimizing makespan and failure probability
Published 2019“…This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Performance of each algorithm is compared in terms of number of test cases generated as well as the run time required. …”
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Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm
Published 2020“…Complementing to the earlier researches, this paper proposes a new pairwise test suite generation called Pairwise Hybrid Artificial Bee Colony (PhABC) strategy based on hybridize of an Artificial Bee Colony (ABC) algorithm with a Particle Swarm Optimization (PSO) algorithm. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. …”
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Intelligent Optimization Systems for MaintenanceScheduling of Power Plant Generators
Published 2024“…This paper presents a Genetic Algorithm (GA) and Ant-Colony (AC) optimization model for power plant generators� maintenance scheduling. …”
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Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model
Published 2020“…Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). …”
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Application of artificial neural network for automatic contingency analysis in power security assessment / Ismail Musirin and Titik Khawa Abdul Rahman
Published 2006“…Data were generated using the newly developed automatic contingency analysis and ranking (ACAR) algorithm. …”
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Development of high speed booth multiplier with optimized stuck-at fault implementation
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Vibration analysis for early detection of bearing failures
Published 2024“…Bearing failures are a leading cause of rotating machinery failures in industries such as oil and gas, manufacturing, and power generation. …”
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Final Year Project / Dissertation / Thesis -
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…Finally, an RCM model was developed to overcome the RCM drawbacks. The proposed RCM model can assist decision-makers in choosing a suitable maintenance policy for machine to prevent possible failures and decrease their consequences. …”
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Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks
Published 2013“…The increased growth in consumer demand for seamless access to communication services anywhere and anytime is inevitably driving an accelerated technological development towards the integration of an assortment of wireless network technologies – nowadays referred to as ‘Fourth Generation (4G) Wireless Systems’. …”
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Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…An automatic geometry generation algorithm for textile is developed that can generate complex fabric geometries spanning several unit cells. …”
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A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults
Published 2019“…However, the relationship between faults and failures is not easily identified and depends solely on the accuracy of clustering, such as existing clustering algorithms are not able to isolate failed tests to their causative faults effectively which hinder localization effectiveness. …”
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Corona fault detection in switchgear with extreme learning machine
Published 2023“…Experiments are carried out to investigate the performance of the developed algorithm in identifying Corona faults in switchgears. …”
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