2013Unpublished venueRequires access

State Prognostics Based Health Management for Complex Systems

Aofu Zhang, Lirong Cui, Pu Zhang

Open publisher page 3 citations

Abstract

The research on Prognostics and Health Management (PHM) for complex systems is a hot topic in the current reliability field, its main idea is to change the system logistics from state monitoring to state management, which makes people pay an attention actively on the system failures and risk of performance, and do the health management for complex systems. Thus, the research is significant in both theory and practice. The contents of the research include three areas in PHM. Optimal allocation and reliability evaluation for sensor systems, which is a base for obtaining the system operation information, Modeling and method for prognostics under uncertainty conditions, which is a basic work and content for PHM, Health management and optimal decisions is the heart of PHM. The research will build an essential base on applications of PHM for complex systems in the future.

About this research paper

What this paper is about

The research on Prognostics and Health Management (PHM) for complex systems is a hot topic in the current reliability field, its main idea is to change the system logistics from state monitoring to state management, which makes people pay an attention actively on the system failures and risk of performance, and do the health management for complex systems. Thus, the research is significant in both theory and practice. The contents of the research include three areas in PHM. Optimal allocation and reliability evaluation for sensor systems, which is a base for obtaining the system operation information, Modeling and method for prognostics under uncertainty conditions, which is a basic work and content for PHM, Health management and optimal decisions is the heart of PHM. The research will build an essential base on applications of PHM for complex systems in the future.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The research on Prognostics and Health Management (PHM) for complex systems is a hot topic in the current reliability field, its main idea is to change the system logistics from state monitoring to state management, which makes people pay an attention actively on the system failures and risk of performance, and do the health management for complex systems. Thus, the research is significant in both theory and practice. The contents of the research include three areas in PHM. Optimal allocation and reliability evaluation for sensor systems, which is a base for obtaining the system operation information, Modeling and method for prognostics under uncertainty conditions, which is a basic work and content for PHM, Health management and optimal decisions is the heart of PHM. The research will build an essential base on applications of PHM for complex systems in the future.

Key concepts: Prognostics, Reliability (semiconductor), Reliability engineering, Health management system, Risk analysis (engineering), Complex system, Field (mathematics), Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
State Prognostics Based Health Management for Complex Systems — Research Paper | ScholarLens