Industrial big data-driven fault prognostics and health management

With the development and application of artificial intelligence technology, equipment has accumulated massive amount of industrial big data, which pushed the equipment Prognostics and Health Management (PHM) technology into the era of industrial big data. There had great economic and social value to extract useful information in industrial big data for PHM by combining with the function, structure and working characteristics of the equipment. The development and application of PHM technology were reviewed, and the industrial big data analysis methods were discussed. Two case studies of unity-scale wind turbines and hard disk drives in big data environments were presented to demonstrate the advantages of industrial big data-driven PHM, which could provide a reference for researchers in related fields. © 2022, Editorial Department of CIMS. All right reserved.