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- Title
Root Cause Diagnosis of Head Narrowing in Hot Rolled Strip Based on Comparative Granger Causality.
- Authors
HE Fei; DU Xuefei; WANG Chaojun
- Abstract
A root cause diagnosis model of head narrowing in hot rolled strip was proposed based on the dissimilarity index and comparative Granger causality analysis. Firstly, kernel entropy component analysis (KECA) was used to extract the feature of the original data, and the dissimilarity evaluation was realized based on the dimensionality reduction under the nonlinear relationship. Secondly, comparative Granger causality analysis model was established. Therefore, the allowable fluctuation range of each causal relationship was calculated by batch data under a large number of normal conditions, which was regarded as a criterion corresponding to judge whether the causal relationship was abnormal. The final root cause diagnosis of the abnormal was determined by the causal relationships. Finally, the diagnosis model of the head narrowing in hot rolling was established to verify the effectiveness of the method using real industrial data. Results show that the method has better performance, which may accurately detect abnormal batches, and locate root cause of abnormal batches.
- Subjects
GRANGER causality test; VECTOR error-correction models; HOT rolling; TELEOLOGY
- Publication
China Mechanical Engineering, 2020, Vol 31, Issue 19, p2340
- ISSN
1004-132X
- Publication type
Article
- DOI
10.3969/j.issn.1004-132X.2020.19.010