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- W89577090 abstract "Fault diagnostics of induction machines have been widely researched however, an integrated motor control with automated fault detection, prevention and condition monitoring is still missing. Condition monitoring can reduce the downtime of the processes and increase the maximum interval between failures, thus minimizing the number and cost of unscheduled maintenances, which is highly beneficial. Also an integrated approach can reduce the cost of the system and enhance its integrity. A new algorithm is introduced for control with embedded systems fault prediction and analysis of AC induction machines. The embedded control and diagnostics algorithm is implemented using the Analog Devices Blackfin™ ADSP-BF531 digital signal processor (DSP) which mainly controls the AC induction machine, and communicates to a Windows XP™ PC through the USB to monitor and display the electrical parameters of the inverter and the Motor. The algorithm employs various techniques to detect and predict different faults of the AC drive system. In this paper the Inverter fault prediction and diagnosis are covered." @default.
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- W89577090 date "2005-11-02" @default.
- W89577090 modified "2023-09-22" @default.
- W89577090 title "Embedded control and diagnostics algorithm with fault prediction and analysis of AC induction machines" @default.
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