Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry

ABSTRACT: The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to embrace the idea of Industry 4.0. Some industrial companies already have different sensors installed on their machines; however, without proper analysis, the data collected is not useful. This systematic review’s main goal is to synthesize the existing evidence on the application of predictive maintenance (PdM) with visual aids and to identify the key knowledge gaps in areas including utilities, power generation, industry, and energy consumption. After a thorough search and evaluation for relevancy, 37 documents were identified. Moreover, we identified the visual analytics of PdM, including anomaly detection, planning/sched

SUBMITTER: Cheng X 

PROVIDER: S-EPMC9460830 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature