We introduce a generalization of differential privacy called tailored differential privacy, where an individual’s privacy parameter is “tailored” for the individual based on the individual’s data and the data set. In this paper, we focus on a natural instance of tailored differential privacy, which we call outlier privacy : an individual’s privacy parameter is determined by how much of an “outl...

This paper presents a novel power transformer differential protection scheme by using combined Wavelet Transform and Artificial Neural Network which provide the means to enhance the classical protection principles and facilitate faster, more secure and dependable differential protection for power transformer. Wavelet transform is used to extract the feature from transient signal and the neural ...

The reliability of the transformer differential protection is under threat from multiple interferences, including inrush condition, current saturation and arc fault condition. For improvement, a new method proposed to discriminate conditions other non-fault conditions. Firstly, identifies unidirectional via index, since only it exhibits characteristic. Then, remaining signals are classified by ...