Name
Title | ||
|---|---|---|
Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model |
Abstract | ||
|---|---|---|
•An improved HSMM was proposed to model and tag the spindle vibration signals.•Mel frequency cepstral coefficients are extracted as observation sequences.•The mean Intersection over Union was used to evaluate the accuracy.•The proposed method was verified in the laboratory and real industry machining. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.eswa.2022.117758 | Expert Systems with Applications |
Keywords | DocType | Volume |
HSMM,HMM,MFCC,GA,CNN,CNC,EM,LDA,IOU,UPFC | Journal | 205 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Li | 1 | 2 | 4.49 |
| Chaochao Qiu | 2 | 0 | 0.68 |
| Xinzhao Zhou | 3 | 0 | 0.34 |
| Mingsong Chen | 4 | 0 | 0.68 |
| Y. Lin | 5 | 0 | 1.35 |
| Xianshi Jia | 6 | 0 | 0.68 |
| Bin Li | 7 | 782 | 79.80 |