Application of adaptive neural network for virtual measurement system in power signal analysis

The analysis of electrical quantities is important for the evaluation of power signal. However, there are many different analysis methods for power disturbances in the literature. This circumstance would lead to the difficulty in the design of a low-cost measurement system. In this paper, the design and implementation of a virtual measurement system based on the adaptive neural network (ADALINE) is introduced. The main advantages of the designed system are the simplification and integration for the harmonic analyzer and e-learning platform by adopting the convenient computational mechanism. The performance of proposed virtual measurement system can be verified with test results.