The highly-changing concept of Power Quality (PQ) needs to be continuously reformulated due to the new schemas of the power grid or Smart Grid (SG). In general, the spectral content is characterized by their averaged or extreme values. However, new PQ events may consist of large variations in amplitude that occur in a short time or small variations in amplitude that take place continuously. Thus, the former second-order techniques are not suitable to monitor the dynamics of the power spectrum. In this work, a strategy based on Spectral Kurtosis (SK) is introduced to detect frequency components with a constant amplitude trend, which accounts for amplitude values’ dispersion related to the mean value of that spectral component. SK has been proven to measure frequency components that follow a constant amplitude trend. Two practical real-life cases have been considered: electric current time-series from an arc furnace and the power grid voltage supply. Both cases confirm that the more concentrated the amplitude values are around the mean value, the lower the SK values are. All this confirms SK as an effective tool for evaluating frequency components with a constant amplitude trend, being able to provide information beyond maximum variation around the mean value and giving a progressive index of value dispersion around the mean amplitude value, for each frequency component.

With three awards-recognitions over a six-year research period in the field of Engineering and Communication Engineering, Computation, and Electronics, by the National Assessment Commission of the Research Activity of the Spanish Ministry of Education and Science (CNEAI), he is the author of nearly 100 JCR research articles, and is an attendant of multiple conferences and international research meetings (e.g., chairman and speaker in the main track), which are the result of his participation and leadership in a number of nearly 20 research projects and 40 research contracts with international companies. During his career, he has also visited and attended universities (invited professor), research institutes, and companies in France, Switzerland, Italy, and Spain. He is currently the assistant director for Strategic Planning and Postgraduate Studies in the Higher Polytechnic Engineering School of Algeciras, where he has served as the academic secretary and is responsible for students' training in companies. He is the main researcher and the founder of the Research Group in the Computational Instrumentation and Industrial Electronics (PAIDI-TIC-168), one of the most important in its disciplines among Andalusian, and is responsible for the creation of the Research Institute of Energy Engineering and Sustainability at the University of Cádiz, and the for the accreditation of the doctorate program with the same name. His research line is summarized as "Computational Intelligence and Statistical Signal Processing for Smart Measurement Systems". More precisely, his research interests include instrumentation for Industry 4.0, power quality (PQ), statistical signal processing, measurement methods, and higher-order statistics (HOS). Regarding membership, he belongs to the following associations (among others): IEEE Senior Member

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