Fault Location of Strip Steel Surface Quality Defects on Hot-Rolling Production Line Based on Information Fusion of Historical Cases and Process Data

Surface quality is the most important index to improve the overall quality of strip steel. In order to implement the fault location on the hot-rolling line with surface defects of strip steel, a fault tracing model based on information fusion of historical production cases and process data is propos...

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Vydáno v:IEEE access Ročník 8; s. 171240 - 171251
Hlavní autoři: Wang, Zhaoping, Wang, Jian, Chen, Sen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Data integration
Data processing
Decision making
Fault location
Feature extraction
feature importance
feature selection
fuzzy semantic inference
Hot rolling
information fusion
Iron and steel industry
process data analysis
Regularization
Regularization methods
Steel
Strip steel
Strips
Surface defects
Surface properties
Surface treatment
Tracing
ISSN:2169-3536, 2169-3536
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Shrnutí:Surface quality is the most important index to improve the overall quality of strip steel. In order to implement the fault location on the hot-rolling line with surface defects of strip steel, a fault tracing model based on information fusion of historical production cases and process data is proposed. For historical cases, the model determines the defect cause labels through text similarity calculation, and fuzzy semantic inference is used to obtain the probability distribution of defect causes on this basis; for the process data, the model uses L1 regularization method for feature selection, and XGBoost integration method is used to train the correlation model between process data and defects to determine the contribution of each feature in the data source. Finally, based on the D-S evidence theory, different rules are set to merge the two judgments to determine the probability of each source of failure on the hot-rolling production line. The model is applied to the real production environment of iron and steel enterprises, and it is verified that the proposed method can effectively assist experts in decision-making, which greatly improves the efficiency of tracing the source of faults on the hot-rolling production line.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3024582