| As one of the important means electrical equipment, induction motors are widely used in industrial and agricultural production and our daily life. When it works out of order or off-the-line, not only the motor itself can be destroyed, but also the whole system can be in danger and the enormous economic losses can be caused. It is very valuable to develop an online monitoring and fault diagnosis system for induction motors. With the development and maturation of computer technology and embedded system technology gradually, miniaturization and intelligentize have become the trend for fault diagnosis system of motors.This paper presents the design of an online monitoring and fault diagnosis system for induction motors, which is based on embedded system, the system could be applied on the spot to monitor and diagnose faults of induction motors.The amplitude recovery method combined with fast Fourier transform is adopted to analyze three-phase currents of induction motor stators. The amplitude recovery method shows the obvious virtues of less computing quantity, rapid processing speed and effectively making harmonic visible. By using the amplitude recovery method, the critical requests can be solved for this system: one is the limited data storage space; the other is the limited data process time.In this system, the S3C2410 chip is the core microprocessor, the embeddedμC/OS-Ⅱoperation is the software platform, and a friendly graphical user interface is provided. This paper describes the hardware design of every part in detail, the implemented BootLoader, the transplantation of theμC/OS-Ⅱoperation system, the development of the A/D converter and TFT_LCD drivers, the transplantation of the embedded graphical user interfaceμC/GUI toμC/OS-Ⅱ, and the applications that are developed on the system functions, for example, the data sample, amplitude recovery method processing and FFT analysis programs. |