Abstract

Abstract The health management of complex equipment is crucial to ensure the reliability, maintainability and safety of complex equipment. This paper introduces the basic concept and research connotation of prognostics and health management (PHM), analyzes the significance of PHM technology in equipment maintenance. For the fault prediction architecture and method, this paper focuses on the discussion, analysis, and summarizes the current research’s hot spots and existing technical difficulties. Finally, the future research directions are also prospected.

Highlights

  • With the rapid development of modern technologies, especially information technologies, the complexity, integration, and intelligence of a large number of complex systems are constantly increasing, and the costs of research, production, and especially maintenance and protection are increasing

  • The prognostics and health management (PHM) is a further extension of the build-in test (BIT) and state’s health monitoring capabilities used for complex systems

  • Failure prognostics refers to the prediction based on the current or historical performance state of the system, diagnose its function, including determining the remaining life of the system or the length of time it is expected to work; Health management is a ability to make appropriate decisions, based on diagnostic, prognostic information, available maintenance resources and usage requirements

Read more

Summary

A Review on Prognostics and Health Management

Abstract—The health management of complex equipment is crucial to ensure the reliability, maintainability and safety of complex equipment. This paper introduces the basic concept and research connotation of prognostics and health management (PHM), analyzes the significance of PHM technology in equipment maintenance. For the fault prediction architecture and method, this paper focuses on the discussion, analysis, and summarizes the current research’s hot spots and existing technical difficulties.

INTRODUCTION
The Basic Concept of PHM
Connotation of PHM
PHM’s Framework
Design data
Fault prognostic model design of PHM
ALGORITHM OF FAULT PROGNOSTIC
Model-driven Fault Pragnostics Techniques
Data-driven Fault Pragnostics Techniques
Fault Pragnostics Techniques Based on Statistical Reliability
The Comparison of Fault Prognostic Algorithm
PHM OUTLOOK
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call