# Recognition of Control Chart Pattern Using Improved Supervised Locally Linear Embedding and Support Vector Machine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recognition-of-control-chart-pattern-using-improved-supervised-locally-linear/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chunhua Zhao,Cheng‐Kang Wang,Hua Lü,Xiao Liu,Yina Zhang,Hengxing Hu |
| Citations | 34 |
| DOI | 10.1016/j.proeng.2017.01.138 |
| Fields | Decision Sciences,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877705817301388/pdf |
| OpenAlex ID | https://openalex.org/W2592679586 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Cheng‐Kang Wang](https://scholariq.org/researchers/cheng-kang-wang/)

## Paper primary topic

- [Advanced Statistical Process Monitoring](https://scholariq.org/topics/advanced-statistical-process-monitoring/)

## Paper topics

- [Advanced Statistical Process Monitoring](https://scholariq.org/topics/advanced-statistical-process-monitoring/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.