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The compressor station production sharing system structures

Oro kompresorinių sistemų valdymo struktūros
Authors: Šípal, J.; Kauno technologijos universitetas;

The compressor station production sharing system structures

Abstract

Parallel working devices are relatively often used in real industrial production. Unfortunately, in many cases, e. g. compressor station, it is rather difficult to determine the load of every single machine. On the other hand, this is a importantl information for the production management, because such a piece of information may allow to divide the load equally among all machines. Equally divided load reduces the unexpected failures of single machines due to performance over its limits. Moreover, it stimulates the efficiency of the whole production process. This article presents algorithm, which is according to some basic measurements capable of determining the load of every single compressor in a compressor station. In the future an industrial computer with such an algorithm will be an equipment of a compressor station. Data from this computer should become a significant help to the production management.

Išanalizuotas kompresorinių sistemų algoritmas, kuriuo naudojantis galima apskaičiuoti kiekvieno kompresoriaus apkrovimą. Ateityje šį algoritmą planuojama pritaikyti praktikoje kompresoriams valdyti. Lygiagrečiai dirbantys įrenginiai yra dažnas reiškinys pramonėje. Daugeliu atvejų, pvz., oro kompresorinėse stotyse sunku atskirai nustatyti kiekvieno kompresoriaus apkrovimą. Kita vertus vienam kompresoriui tenkantį krūvį galima gauti padalijus reikiamą krūvį iš kompresorių skaičiaus. Šitaip sumažinama gedimų tikimybė.

Country
Lithuania
Keywords

kompresoriai, compressors, algoritmai, process control, algorithms, procesų kontrolė

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green