What are the two recent studies that consider the impact of the shock process on the degradation process?

The works [46–49] consider that the shock process may cause additional damage for the degradation process, while the works [50, 51] recently consider that the degradation process can drive the arrival rate of shock events.

What is the probability that the system fails in the time interval?

The probability that the system fails in the time interval [(k − 1)T, t] under the (T,M) strategy is given byP (T,M) ((k − 1)T < Y < t) = P (XS(k−1)T < M,N(k−1)T < N, ( XSt ≥ L or Nt ≥ N ))=

What is the reason for Castro et al. to develop a model of multiple crack?

The data gathered by the second CM strategy motivate Castro et al. [27] to develop a model of multiple crack paths by coupling a HPP with various HGP, the failure occurs whenever the length of one crack path reaches a critical threshold.

What is the common method of evaluating the reliability of CBM strategies?

As far as the authors know, only the authors of some recent papers [20–24] study the robustness of CBM strategies, and the assessment is mainly performed on the basis of the so-called relative increase in long-run expected maintenance cost rate [25].

What is the purpose of the cracks data-set?

The information on the cracks initiation times and on the largest crack length are jointly used for parameters estimation purpose.

Why do the authors prefer the (T,M,Np) strategy?

Although such a profit is not much significant, in practical applications, the authors still prefer the (T,Rp) strategy and (T, µp) strategy than the (T,M,Np) strategy because of their simpler maintenance decision-making structures and parameters optimization.

Open AccessJournal Article10.1016/J.RESS.2016.11.022

Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking

Q: What are the contributions mentioned in the paper "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

As a complement to these efforts, this paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making. The study is based on a system subject to competing risks due to multiple crack paths. The comparison results allow us to conclude on the performance and on the robustness of these strategies, hence giving some suggestions on the choice of reliable condition indices for maintenance decision-making.

Q: What have the authors stated for future works in "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

For their future works, the authors continue studying the effectiveness of diagnostic and prognostic condition indices based on other degradation and failure models of SCC. For instance, the authors can consider a model whose the system failure occurs when there are at least some number of cracks bigger than some length.

Q: What is the reason why the data-set is so poor?

Since the data-set is very poor (only one crack increment and a few inspection times are gathered for one crack path [26]), they seem not enough reliable for safety and reliability analysis.

Q: What is the probability of multiple cracks appearing on the system?

Multiple crack paths appearing on the system may coalesce, accelerate the apparent crack growth, and hence generate largest cracks on the system [40].

Q: What is the reason for Castro et al. to develop a model of multiple crack?

The data gathered by the second CM strategy motivate Castro et al. [27] to develop a model of multiple crack paths by coupling a HPP with various HGP, the failure occurs whenever the length of one crack path reaches a critical threshold.

Q: What is the common method of evaluating the reliability of CBM strategies?

As far as the authors know, only the authors of some recent papers [20–24] study the robustness of CBM strategies, and the assessment is mainly performed on the basis of the so-called relative increase in long-run expected maintenance cost rate [25].

Q: What is the purpose of the cracks data-set?

The information on the cracks initiation times and on the largest crack length are jointly used for parameters estimation purpose.

Q: Why do the authors prefer the (T,M,Np) strategy?

Although such a profit is not much significant, in practical applications, the authors still prefer the (T,Rp) strategy and (T, µp) strategy than the (T,M,Np) strategy because of their simpler maintenance decision-making structures and parameters optimization.

Khac Tuan Huynh, +3 more

- 01 Mar 2017

- Reliability Engineering & System Safety

- Vol. 159, pp 237-254

TL;DR: This paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making in a system subject to competing risks due to multiple crack paths and gives some suggestions on the choice of reliable condition indices for Maintenance decision- making.

About: This article is published in Reliability Engineering & System Safety. The article was published on 01 Mar 2017. and is currently open access. The article focuses on the topics: Condition-based maintenance.

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Most frequently asked questions

1. What are the contributions mentioned in the paper "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

As a complement to these efforts, this paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making.. The study is based on a system subject to competing risks due to multiple crack paths.. The comparison results allow us to conclude on the performance and on the robustness of these strategies, hence giving some suggestions on the choice of reliable condition indices for maintenance decision-making.

2. What have the authors stated for future works in "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

For their future works, the authors continue studying the effectiveness of diagnostic and prognostic condition indices based on other degradation and failure models of SCC.. For instance, the authors can consider a model whose the system failure occurs when there are at least some number of cracks bigger than some length.

3. What is the reason why the data-set is so poor?

Since the data-set is very poor (only one crack increment and a few inspection times are gathered for one crack path [26]), they seem not enough reliable for safety and reliability analysis.

4. What is the probability of multiple cracks appearing on the system?

Multiple crack paths appearing on the system may coalesce, accelerate the apparent crack growth, and hence generate largest cracks on the system [40].

Fig. 3 – Behavior of the maintained system under the (T,M) strategy.

Fig. 11 – Evolution of optimal decision parameters of the considered maintenance strategies.

Table 6 – Evolution of Rp and µp ⇒ R ( t+ Topt | xµp , kµp ) with respect to ǫp.

Fig. 12 – Comparison on the robustness of the considered maintenance strategies.

Table 5 – Optimal decision parameters of the three considered strategies.

Fig. 2 – Shape of the system RUL - α = 1, β = 1, λ = 0.5, L = 50, N = 9.

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References

Journal Article•10.1016/J.YMSSP.2005.09.012

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Andrew K.S. Jardine, +2 more

- 01 Oct 2006

- Mechanical Systems and Signal Processing

TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.

...read moreread less

4.5K

Journal Article•10.1016/J.EJOR.2010.11.018

Remaining useful life estimation - A review on the statistical data driven approaches

Xiaosheng Si, +5 more

- 16 Aug 2011

- European Journal of Operational Research

TL;DR: This paper systematically reviews the recent modeling developments for estimating the RUL and focuses on statistical data driven approaches which rely only on available past observed data and statistical models.

...read moreread less

Journal Article•10.1016/J.YMSSP.2013.06.004

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

Jay Lee, +5 more

- 01 Jan 2014

- Mechanical Systems and Signal Processing

TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.

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1.4K

Journal Article•10.1016/J.RESS.2007.03.019

A survey of the application of gamma processes in maintenance

J.M. van Noortwijk

- 01 Jan 2009

- Reliability Engineering & System Safety

TL;DR: The application of gamma processes in maintenance is surveyed because gamma processes are well suited for modelling the temporal variability of deterioration, they have proven to be useful in determining optimal inspection and maintenance decisions.

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1.3K

Journal Article•10.1016/J.YMSSP.2008.06.009

Rotating machinery prognostics: State of the art, challenges and opportunities

Aiwina Soong Yin Heng, +3 more

- 01 Apr 2009

- Mechanical Systems and Signal Processing

TL;DR: In this article, the authors synthesize and place these individual pieces of information in context, while identifying their merits and weaknesses, and discuss the identified challenges, and in doing so, alerts researchers to opportunities for conducting advanced research in the field.

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1.1K

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Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking

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AI Agents for this Paper

Most frequently asked questions

1. What are the contributions mentioned in the paper "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

2. What have the authors stated for future works in "Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking" ?

3. What is the reason why the data-set is so poor?

4. What is the probability of multiple cracks appearing on the system?

5. What are the two recent studies that consider the impact of the shock process on the degradation process?

6. What is the probability that the system fails in the time interval?

7. What is the reason for Castro et al. to develop a model of multiple crack?

8. What is the common method of evaluating the reliability of CBM strategies?

9. What is the purpose of the cracks data-set?

10. Why do the authors prefer the (T,M,Np) strategy?

Figures

Citations

Potential, challenges and future directions for deep learning in prognostics and health management applications

Prognostics and health management: A review from the perspectives of design, development and decision

Condition-Based Maintenance—An Extensive Literature Review

Principles of Operations Research—12. Finale

A Parametric Predictive Maintenance Decision-Making Framework Considering Improved System Health Prognosis Precision

References

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Remaining useful life estimation - A review on the statistical data driven approaches

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

A survey of the application of gamma processes in maintenance

Rotating machinery prognostics: State of the art, challenges and opportunities

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