Name
Title | ||
|---|---|---|
Real-time quality monitoring and diagnosis for manufacturing process profiles based on deep belief networks. |
Abstract | ||
|---|---|---|
•A deep-belief-network-based intelligent method is proposed for monitoring and diagnosing manufacturing process profiles.•The proposed method is more sensitive than the alternative methods.•The real example from injection process is applied to explain the implementation of proposed method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cie.2019.07.042 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Manufacturing process profile,Monitoring and diagnosis,Quality spectrum,Deep belief network | Data mining,Mathematical optimization,Nonlinear system,Deep belief network,Statistical process control,Engineering,Manufacturing process,Molding (process) | Journal |
Volume | ISSN | Citations |
136 | 0360-8352 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yumin Liu | 1 | 1 | 1.03 |
| Hao Zhou | 2 | 23 | 4.66 |
| Fugee Tsung | 3 | 281 | 40.45 |
| Shuai Zhang | 4 | 37 | 11.44 |