Siyamak Moradi

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Precipitation and deposition of asphaltene cause number of severe problems in downstream and upstream of oil industry. Hence, it is essential to present a dependable model for quantitative estimation of asphaltene precipitation. This paper aims to introduce a hybrid support vector regression (SVR) with harmony search (HS) as an intelligence approach to(More)
After the extrusion process the remaining of polymers in the extruders cause some problems like degradation and impurity in process, therefore after each batch the extruder should be cleaned. Using self-wipe twin-screw extruder is a method, to solve this problem. Production of self-wipe screw modules is very difficult, time consuming and is not economical.(More)
Any industry needs an efficient predictive plan in order to optimize the management of resources and improve the economy of the plant by reducing unnecessary costs and increasing the level of safety. A great percentage of breakdowns in productive processes are caused by bearings. This paper presents a methodology for fault diagnosis of ball bearings based(More)
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