Name
Abstract | ||
|---|---|---|
Industrial gas leaks cause accidents and pose threats to the environment and human life. Thus, it is essential to detect gas leaks in time. Usually, the abnormal concentration signals are defined by a fixed concentration value, such as 25% of the lower explosive limit. However, it is difficult to accumulate to the fixed point quickly when the leak is small. In addition, the actual leak signals are... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2019.2891521 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Wireless sensor networks,Leak detection,Monitoring,Feature extraction,ZigBee,Informatics | Gas leak,Leak,Wireless,Computer science,Real-time computing,Data classification,Constant false alarm rate,Fixed point,Fuse (electrical),Wireless sensor network | Journal |
Volume | Issue | ISSN |
15 | 12 | 1551-3203 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linxi Dong | 1 | 0 | 0.68 |
| Zhiyuan Qiao | 2 | 0 | 0.34 |
| Haonan Wang | 3 | 0 | 0.34 |
| Weihuang Yang | 4 | 0 | 0.34 |
| Wen-Sheng Zhao | 5 | 0 | 1.35 |
| Kuiwen Xu | 6 | 2 | 7.49 |
| Gaofeng Wang | 7 | 1 | 1.74 |
| libo zhao | 8 | 5 | 5.19 |
| Haixia Yan | 9 | 31 | 9.47 |