Overview of predictive condition based maintenance research using bibliometric indicators

摘要

This study uses bibliometric analysis techniques to provide an overview of the research conducted in the condition based maintenance (CBM) sciences. The paper objective is to determine the most influential research that has been conducted in this field. In this paper, a methodology is proposed. First, collect the articles using Web of Science based on selected keywords from 1970 to December 31, 2017. Next, determine the most influential journals, articles, keywords, authors, and institutions in CBM. Then, the analysis of country has been performed to analyze CBM studies with respect to its geographical distribution. Finally, The VOSviewer software is used to visualize the bibliographic material through co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis. The outcomes of the study show that Wang W from China has been the most effective researcher, citations, and common reference with other authors in the subject of CBM. The USA was solely the most effective country in the subject of CBM. Centre National De La Recherché Scientifique is the most influential organization in this field. Finally, Berenguer C has the greatest co-authorship among the other authors considered.