Paper
21 July 2004 Remote online machine fault diagnostic system
Min-Chun Pan, Po-Ching Li
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min-Chun Pan and Po-Ching Li "Remote online machine fault diagnostic system", Proc. SPIE 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, (21 July 2004); https://doi.org/10.1117/12.537722
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Diagnostics

Data acquisition

Signal processing

Telecommunications

Feature extraction

Internet

Pattern recognition

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