APPLICATION OF SALP SWARM ALGORITHM AND EXTENDED REPOSITORY FEATURE SELECTION METHOD IN BEARING FAULT DIAGNOSIS

Application of Salp Swarm Algorithm and Extended Repository Feature Selection Method in Bearing Fault Diagnosis

Collections Motor fault diagnosis is an important task in the operational monitoring of electrical machines in manufacturing.This study proposes an effective bearing fault diagnosis model for electrical machinery based on machine learning techniques.The proposed model is a combination of three processes: feature extraction of signals collected from

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Effects of niobium macro-additions to high chromium white cast iron on microstructure, hardness and abrasive wear behaviour

Abrasive wear is a principal cost in mining and mineral processing operations.High chromium white cast iron (WCI) further Bed linen reinforced with niobium carbide (NbC) shows promise to increase component wear lives.This work investigates the effect of niobium macro-additions on microstructure, hardness and high-stress abrasive wear behaviour of N

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Influence of the liquid or gazeous nature of the grape berries environment on rheological properties and on colour and nitrogen extractabilities during conditions simulating the Beaujolais wine-making process

This study concerns the evolutions of some physicochemical characteristics of berries during conditions simulating the beaujolais wine-making process.In this process, a large number of intact berries is kept in a CO2 atmosphere which is produced by ethanolic fermentation of the must in the bottom of the tank.To simulate this, two equivalent samples

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