Abstract
The study aims at implementing a remote online machine fault diagnostic system built up in the architecture of both the BCB software-developing environment and Internet transmission communication. Variant signal-processing computation schemes for signal analysis and pattern recognition purposes are implemented in the BCB graphical user interface. Hence, machine fault diagnostic capability can be extended by using the socket application program interface as the TCP/IP protocol. In the study, the effectiveness of the developed remote diagnostic system is validated by monitoring a transmission-element test rig. A complete monitoring cycle includes data acquisition, signal processing, feature extraction, pattern recognition through the ANNs, and online video monitoring, is demonstrated.
| Original language | English |
|---|---|
| Pages (from-to) | 446-453 |
| Number of pages | 8 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5394 |
| DOIs | |
| State | Published - 2004 |
| Event | Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III - San Diego, CA, United States Duration: 15 Mar 2004 → 17 Mar 2004 |
Keywords
- Fault diagnosis
- Pattern recognition
- Remote monitoring
- Signal processing