Prognostics and Health Management: A Review on Data Driven Approaches

Year: 2015

Type: article

Abstract: Prognostics and health management (PHM) is a framework that offers comprehensive yet individualized solutions for managing system health. In recent years, PHM has emerged as an essential approach for achieving competitive advantages in the global market by improving reliability, maintainability, safety, and affordability. Concepts and components in PHM have been developed separately in many areas such as mechanical engineering, electrical engineering, and statistical science, under varied names. In this paper, we provide a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches. Real world examples have been provided to illustrate the implementation of PHM in practice.

Source: Mathematical Problems in Engineering

DOI: 10.1155/2015/793161

Authors: Kwok L. Tsui, Nan Chen, Qiang Zhou, Yizhen Hai, Wenbin Wang

Institutions: City University of Hong Kong, National University of Singapore, Manchester Metropolitan University, University of Science and Technology Beijing

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,550

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, China Postdoctoral Science Foundation, Ministry of Education, India, Fundamental Research Funds for the Central Universities

OpenAlex ID: W1540327028