In the literature, many research studies have proposed the diagnosis of the induction motor condition where both the electrical and mechanical faults have been considered. Despite obtaining promising results, the diagnosis is mostly achieved qualitatively, requiring an expert user to interpret the results. This disadvantage could lead to time delays and additional costs that at an inopportune stage could prevent the diagnosis of the motor. In this study, a methodology based on signal processing and image processing is proposed to automatically diagnose a broken rotor bar (BRB) by using current signals. For the signal processing, first a decimation stage is proposed and then short-time Fourier transform is applied to the current signal. The proposed signal processing eliminates the 60 Hz component of the power line and its associated leakage. Next, the fault diagnosis is automated by applying image processing algorithms to the time-frequency plane of the current signal. From this time-frequency plane, the region of interest, in this case, the V-shaped pattern associated with the BRB condition, is automatically located mainly by using mathematical morphology-based algorithms. In addition, the area of the V-shaped pattern is also computed in order to automatically distinguish between the faulty and healthy condition, half BRB, one BRB, and two BRB. This last step of the method avoids the need of an expert user. For the area values, an analysis of variance is performed, where a 100% effectiveness is obtained for automatically determining the motor condition.
Motion controllers are widely used in many mechatronic applications such as computer numerically controlled machine tools and robots. These applications demand the use of high performance controllers. Some desirable characteristics in motion controllers are coordinated multi-axis control, smooth movements, and advanced interpolation methods. An important manufacturing aspect involves the production of a workpiece in a free form or using the parametric surfaces in modern computer aided design/computer aided manufacturing systems. The use of parametric curves and surfaces has become standard due to their ability to represent objects having complex surfaces with less data. Another mandatory characteristic of motion controllers is the real-time operation. The contribution of the present work is the design and implementation of a hardware-software system for multi-axis motion control featuring non uniform rational Bsplines interpolation. Advantages over other reported works are the hardware implementation which allows the application to real computer numerically controlled machines; also the parallel processing permits the incorporation of additional modules to form an integral system without dependence on external devices. Two experiments were carried out in a retrofitted-to-computer numeric control milling machine in order to show the efficiency of the developed system.
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