Measuring the reliability importance of components in multi-state systems

Several concepts of importance measures have been proposed and used in system engineering, based on different views of the influence of the components on the system performance. The standard definitions of importance measures hold for binary components in binary systems (i.e., the components, as well as the whole system can only stay in two states: working or failed). However, a multi-state modelling of components and systems is often required in practice. In this paper, the most frequently used importance measures are generalized to the case of multi-state systems made of multi-state components. The introduced extensions characterize the importance of a component achieving its different possible levels of performance with respect to the overall mean multi-state unavailability. The work is methodological in nature. An illustrative example is provided with regards to a simple multi-state system.

Authors

Publication Details

Published
2026-01-21
DOI
https://doi.org/10.1201/9781003762584-101
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring the reliability importance of components in multi-state systems

Enrico Zio, Luca Podofillini
Reliability and Maintenance Optimization
article

Measuring the reliability importance of components in multi-state systems

Enrico Zio, Luca Podofillini
article en

Abstract

Several concepts of importance measures have been proposed and used in system engineering, based on different views of the influence of the components on the system performance. The standard definitions of importance measures hold for binary components in binary systems (i.e., the components, as well as the whole system can only stay in two states: working or failed). However, a multi-state modelling of components and systems is often required in practice. In this paper, the most frequently used importance measures are generalized to the case of multi-state systems made of multi-state components. The introduced extensions characterize the importance of a component achieving its different possible levels of performance with respect to the overall mean multi-state unavailability. The work is methodological in nature. An illustrative example is provided with regards to a simple multi-state system.

Openalex Percentile: Top 98%
Reliability and Maintenance Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.