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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.

In this paper, a single phase dc to ac inverter with a low cost driver circuit was developed. The input source is a battery tank of four series-connected LiFePO4 batteries. The input DC power is then converted into the output AC power with 110Vrms and 60Hz. The proposed inverter is composed of a boost DC converter and a full bridge inverter. As for the circuit architecture, the boost converter is used to boost the battery tank voltage to 190V DC voltage bus. The DC voltage bus is then used to generate the output AC voltage by the full bridge inverter. A low price micro-controller unit HT66F50 was adopted for the controller of the proposed inverter. Moreover, instead of a common switch driver IC, a driver circuit with about 50% cost reduced was constructed for the full bridge inverter. A prototype with 300W rated output power was practically constructed and it can be seen that the total harmonic distortion is lower than 5%.