Industrial Systems Fault's Diagnosis Approaches Adapted to the Context of the Smart Industry

Abstract

In industrial systems, fault diagnosis plays a crucial role in keeping the safety of both humans and equipment. With the new era of artificial intelligence dominating the different levels of the industry, intelligent fault diagnosis becomes an obligation in engineering and more demanded in project research, so that the possibility of monitoring without modeling the system, in an environment where it is subject to permanent adaptations and reconfiguration, present an obvious interest, for not only to researchers but also to manufacturers. In this paper, we will be interested in fault diagnosis in the smart industry or industry 4.0., the objective is to define the most adapted fault diagnosis methods to industry 4.0 by analyzing the different exigencies of the new age of the Industrial Revolution, and the most important and relevant existing diagnosis approaches of industrial systems and their characteristics. At the end of the study, we will present a table comparing the different characteristics of these tools and try to find out the most appropriate ones that respect the majority of industry 4.0 demands and can perfectly deal with diagnosis in this context.