Research and Analysis on Fault Diagnosis and Prediction for Hydropower Units

Faults within the power system and related industrial sectors have garnered substantial attention. The evolution of computer technology has significantly propelled the advancement of research in fault diagnosis and prediction. This paper delves into the global scholarly output concerning the fault diagnosis and prediction for hydropower units, leveraging the SCI-indexed literature from the Web of Science core database. The analysis encompasses various dimensions, including the volume of publications, principal countries contributing to the research, preeminent global research affiliations, leading researchers, pivotal themes, and key publication venues. This examination aims to elucidate the prevailing research focal points and developmental trends within the domain of hydropower unit fault diagnosis and prognosis. The insights presented are intended to serve as a reference for researchers in this field to apprehend the research landscape, initiate and advance their scholarly endeavors, and for administrative bodies to devise strategic plans for disciplinary growth and development.