A unified model of inspection and monitoring quality

03/23/2021
by   Elizabeth Bismut, et al.
0

Non-destructive evaluation (NDE) through inspection and monitoring is an integral part of asset integrity management. The relationship between the condition of interest and the quantity measured by NDE is described with probabilistic models such as PoD or ROC curves. These models are used to assess the quality of the information provided by NDE systems, which is affected by factors such as the experience of the inspector, environmental conditions, ease of access, or imprecision in the measuring device. In this paper, we show how the different probabilistic models of NDE are connected within a unifying framework. Using this framework, we derive insights into how these models should be learned, calibrated, and applied. We investigate how the choice of the model can affect the maintenance decisions taken on the basis of NDE results. In addition, we analyze the impact of experimental design on the performance of a given NDE system in a decision-making context.

READ FULL TEXT

page 25

page 29

research
03/01/2021

Predictive Maintenance Tool for Non-Intrusive Inspection Systems

Cross-border security is of topmost priority for societies. Economies lo...
research
02/03/2022

A framework for quantifying the value of vibration-based structural health monitoring

The difficulty in quantifying the benefit of Structural Health Monitorin...
research
11/24/2020

Generation of In-group Asset Condition Data for Power System Reliability Assessment

In a power system, unlike some critical and standalone assets that are e...
research
09/14/2023

System Effects in Identifying Risk-Optimal Data Requirements for Digital Twins of Structures

Structural Health Monitoring (SHM) technologies offer much promise to th...
research
03/13/2023

Towards risk-informed PBSHM: Populations as hierarchical systems

The prospect of informed and optimal decision-making regarding the opera...
research
02/12/2015

Towards zero-configuration condition monitoring based on dictionary learning

Condition-based predictive maintenance can significantly improve overall...
research
01/18/2022

Improved probabilistic seismic demand-intensity relationship: heteroskedastic approachs

As an integral part of assessing the seismic performance of structures, ...

Please sign up or login with your details

Forgot password? Click here to reset