ScholarLens Back to search
2012•Unpublished venueRequires access

A review of data-driven prognostics in power electronics

Ahsanul Kabir, C. Bailey, Hua Lu, Stoyan K. Stoyanov

Open publisher page 38 citations

Abstract

The discipline that connects prognostics and system lifecycle management is often referred to as prognostics and health management (PHM). Though prognostics is one of the main parts of PHM, it is the least mature. This paper is based on the past work of data driven prognostics applied in the field of power electronics modules and primarily concerned with the data driven prognostics methods that take advantage of measured characteristics of individual systems or components in order to predict the remaining useful life (RUL).

About this research paper

What this paper is about

The discipline that connects prognostics and system lifecycle management is often referred to as prognostics and health management (PHM). Though prognostics is one of the main parts of PHM, it is the least mature. This paper is based on the past work of data driven prognostics applied in the field of power electronics modules and primarily concerned with the data driven prognostics methods that take advantage of measured characteristics of individual systems or components in order to predict the remaining useful life (RUL).

Why it matters

OpenAlex reports 38 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 discipline that connects prognostics and system lifecycle management is often referred to as prognostics and health management (PHM). Though prognostics is one of the main parts of PHM, it is the least mature. This paper is based on the past work of data driven prognostics applied in the field of power electronics modules and primarily concerned with the data driven prognostics methods that take advantage of measured characteristics of individual systems or components in order to predict the remaining useful life (RUL).

Key concepts: Prognostics, Reliability engineering, Field (mathematics), Power electronics, Electronics, Engineering, Computer science, Electrical engineering

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
A review of data-driven prognostics in power electronics — Research Paper | ScholarLens