The most often used motor in commercial drives is the induction motor. While the induction motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses can result in defects. Therefore, many researchers who are involved in condition monitoring have been interested in the development of reliable and efficient fault diagnostic technologies. This paper’s goal is to provide an overview of available fault detection methods for the broken rotor bar problem, one of several defects associated to induction motors. Despite the fact that it is less common than bearing or insulator failure, this fault may cause electrical machines to fail catastrophically. It can be quite harmful, especially in large motors, and it can develop as a result of manufacturing faults, repeated starting of the machine, mechanical stress, and thermal stress. Hence, a review on rotor defect diagnosis was conducted. In order to confirm rotor bar fracture, this research provides probable defect signatures that can be extracted from the current signal. Each defect signature is reported according to (a) loading level, (b) the number of BRBs, (c) validation, and (d) methodologies.

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The squarer or squaring circuit is extensively used in communication systems as a mathematical function with applications of frequency doublers, finite impulse response (FIR) filters, peak amplitude detectors, digital processors and analog multipliers, etc. and especially for square law detection circuits. Vedic multipliers are popular mainly for it’s simplicity in the literature of digital multipliers. Recently proposed 2-bit square calculator or self-multiplier already took the attraction of the researchers. In this paper, two bits squarer or self-multiplier or square calculator has been successfully coded using VHDL, verified in Xilinx tool and finally implemented in popular FPGA Spartan kit.

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