A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Wheeler, Kevin R.; Kurtoglu, Tolga; Poll, Scott

doi:10.1115/detc2009-87073

Cited by 28 publications

(25 citation statements)

References 32 publications

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“…This shows that the amplitude of the soft defect signature γ d d is very small and explains why such a defect is difficult to detect using reflectometry, as verified experimentally in [45]. Similar models have been presented and extended in [46,47] for a multiconductor transmission line.…”

Section: The Problem Of Soft Defect Detectionmentioning

confidence: 64%

Wire Troubleshooting and Diagnosis: Review and Perspectives

Auzanneau¹

2013

PIER B

124

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Abstract-Electrical cables of all types are subject to aggressive environments that can create defects or accelerate aging. Many application domains require diagnosis methods and tools. Among many methods, reflectometry has proven to be the best candidate and can be easily applied to the detection and localization of hard defects, while only requiring one access point to the wire. But soft defects are more difficult to track and require new powerful methods. This paper presents a review of the recent state of the art in the field of wired network diagnosis and shows the evolution of future activities in this domain. It provides new perspectives and new research domains are proposed.

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Section: The Problem Of Soft Defect Detectionmentioning

confidence: 64%

Wire Troubleshooting and Diagnosis: Review and Perspectives

Auzanneau¹

2013

PIER B

124

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“…It is important to note that the criticalities of different costs and maintenance operations vary for each stakeholder [9] and depend on whether the vehicle is operated in a civilian or a military environment [10]. Therefore, a correct estimation of the uncertainty requires identifying which costs and benefits are allocated to each stakeholder.…”

Section: Quantifying Uncertaintymentioning

confidence: 99%

Downtime uncertainty reduction through the correct implementation of health monitoring tools

Esperon-Miguez¹,

John²,

Jennions³

2012

IET &Amp; IAM Asset Management Conference 2012

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The objective of Integrated Vehicle Health Management (IVHM) is to increase platform availability and reduce maintenance times and costs through the use of health monitoring on key systems. The information generated using condition monitoring algorithms can be used to reduce maintenance times, improve the management of the support process and operate the fleet more efficiently. This paper discusses the effect of advanced health monitoring tools on the uncertainty of predicted downtimes and costs for vehicles and fleets and how they affect the management of the asset.

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“…Furthermore, health monitoring technology can underpin the transformation of manufacturers to service providers, meaning any CBA for IVHM must take into account the effect it can have on current and future contracts as well as the company's mid and long-term strategy [8]. Wheeler et al [13] identified the goals for different stakeholders according to their responsibilities: logistics, mission operation, maintenance and fleet management. These goals are then divided into those which can be achieved using diagnostic tools and those which need the use of prognostic tools.…”

Section: Identifying the Role Of Stakeholdersmentioning

confidence: 99%

Implementing IVHM on Legacy Aircraft: Progress Towards Identifying an Optimal Combination of Technologies

Esperon-Miguez

Jennions

John

2014

Lecture Notes in Mechanical Engineering

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The aim of Integrated Vehicle Health Management (IVHM) is to improve the management of maintenance operations through the implementation of health monitoring tools on key components either by diagnosing deterioration or by estimating Remaining Useful Life (RUL) so as to effect timely, and cost effective, maintenance. Regarding the use of IVHM technology in legacy aircraft, one has to keep in mind that hardware modifications to improve the reliability of components is not normally considered a viable alternative to diagnostic and prognostic tools due to high certification costs. At the same time, the data and expertise gathered over years of operating the aircraft help to estimate much more accurately how different health monitoring tools could impact maintenance activities. Consequently, selecting the optimal combination of health monitoring tools for legacy aircraft is significantly easier than for a new design. While computer simulations of the maintenance process are essential to determine how different IVHM tools generate value for the stakeholders, it is not practicable to simulate all possible combinations in order to select which tools are to be installed. This paper describes a process to reduce their number of toolsets to be simulated starting with the identification of those components that present a higher potential to reduce maintenance costs and times in case their faults could be detected and/or predicted. This is followed by the definition of the minimum required accuracy of diagnostic and prognostic tools for each component. This enables designers to determine which tools -available or still being developed-can be implemented to achieve the expected improvement in maintenance operations. Different combinations of IVHM tools are then subjected to a preliminary risk and cost-benefit analysis. A significantly reduced number of combinations are then simulated to select the optimal blend of technologies.

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A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Cited by 28 publications

References 32 publications

Wire Troubleshooting and Diagnosis: Review and Perspectives

Wire Troubleshooting and Diagnosis: Review and Perspectives

Downtime uncertainty reduction through the correct implementation of health monitoring tools

Implementing IVHM on Legacy Aircraft: Progress Towards Identifying an Optimal Combination of Technologies

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