Statistical process control applied in the analysis of defects in asynchronous electrical machines

This paper refers to defects recorded for asynchronous electrical motors. The aim of this paper is to conclude about the quality of the production process of the asynchronous electrical machines using the statistical process control. The main objective of statistical process control is to find and conclude about the abnormalities in the production processes, using statistical tools of analysis and control, the so called quality control charts. For a certain measured quality characteristic, analyzing the corresponding control chart of that characteristic, one can conclude about the fact whether the respective process is getting out of the control or it is under control. These conclusions are made using the so called control limits, LCL and UCL (lower and upper control limit).

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Publication Details

Journal
Technium Romanian Journal of Applied Sciences and Technology
Published
2024-12-01
DOI
https://doi.org/10.47577/technium.v25i.12128
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Statistical process control applied in the analysis of defects in asynchronous electrical machines

Cătălin Silviu Nuțu
Technium Romanian Journal of Applied Sciences and Technology
Manufacturing Process and Optimization
article

Statistical process control applied in the analysis of defects in asynchronous electrical machines

Cătălin Silviu Nuțu
article en

Abstract

This paper refers to defects recorded for asynchronous electrical motors. The aim of this paper is to conclude about the quality of the production process of the asynchronous electrical machines using the statistical process control. The main objective of statistical process control is to find and conclude about the abnormalities in the production processes, using statistical tools of analysis and control, the so called quality control charts. For a certain measured quality characteristic, analyzing the corresponding control chart of that characteristic, one can conclude about the fact whether the respective process is getting out of the control or it is under control. These conclusions are made using the so called control limits, LCL and UCL (lower and upper control limit).

Technium Romanian Journal of Applied Sciences and TechnologyVol. 25
Constanta Maritime University (RO)
Openalex Percentile: Top 100%
Manufacturing Process and Optimization
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