Abstract
The study aims at realizing a remote online machine condition monitoring system built up in the architecture of both the Borland C++ Builder (BCB) software-developing environment and Internet transmission communication. Various signal-processing computation schemes such as time–frequency analysis and order tracking for signal analysis and pattern recognition purposes are implemented based upon the Borland C++ Builder graphical user interface. Thus machine fault diagnostic capability can be extended by using the socket application program interface as the transmission control protocol/Internet protocol (TCP/IP). In the study, the effectiveness of the developed remote diagnostic system is justified by monitoring a transmission-element test rig. A complete monitoring cycle including data acquisition, signal-processing, feature extraction, pattern recognition through the artificial neural networks, and online video surveillance, is demonstrated.
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