Study on XML-Based Apriori Algorithm Applying to Remote Diagnosis System for Hoist
| Periodical | Advanced Materials Research (Volumes 201 - 203) |
|---|---|
| Main Theme | Advanced Manufacturing Systems |
| Edited by | Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang |
| Pages | 510-513 |
| DOI | 10.4028/www.scientific.net/AMR.201-203.510 |
| Citation | Juan Li Li et al., 2011, Advanced Materials Research, 201-203, 510 |
| Online since | February, 2011 |
| Authors | Juan Li Li, Zhao Jian Yang |
| Keywords | Apriori, Data Mining, Remote Diagnosis, XML |
| Price | US$ 28,- |
According to the data characteristics in the hoister operation process and the network requirements of fault diagnosis system, this paper proposes a XML-based apriori algorithm, and the algorithm is applied to hoist remote fault diagnosis system. The experiment result shows that applying the system can make the hoist fault diagnosis more scientific, reasonable and improve the efficiency and accuracy of diagnosis.