Metrics for evaluating performance of prognostic techniques

Saxena, Abhinav; Celaya, José R.; Balaban, Edward; Goebel, Kai; Saha, Bhaskar; Saha, Subhajit; Schwabacher, Mark

doi:10.1109/phm.2008.4711436

Cited by 371 publications

(294 citation statements)

References 34 publications

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“…• Performance metrics are used to identify ROI which is a very important aspect that defines whether to deploy the prognostics system or not [6].…”

Section: Validation and Verificationmentioning

confidence: 99%

“…Need for prognostics standardization inspires researchers to develop a standard framework of prognostics and its performance metrics. Saxena et al [6] presented a very good and comprehensive summary about almost all measures that can be used for prognostics performance evaluation based on end user objectives. Saxena et al [7] introduced four new prognostics-specific performance metrics.…”

Section: Introductionmentioning

confidence: 99%

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Prognostics: a literature review

Elattar

Elminir

Riad

2016

Complex Intell. Syst.

147

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Integrated systems health management (ISHM) is an enabling technology used to preserve safe and reliable operation of complex engineering systems. It also helps in reducing processing and operation time, manpower and cost, and increasing system availability and utility. ISHM includes various technologies ranging from design, analysis, build, and verify to operate and maintain. Prognostics is one of the most challenging and beneficial aspects of ISHM. Knowledge of the remaining useful life using prognostics can make a significant paradigm shift in ISHM. Researchers that have new interest in prognostics need to read hundreds of articles to have a complete picture about prognostics and its relation to other disciplines. Our contribution to solving this problem is by introducing the first comprehensive vision about prognostics as a part of ISHM in a single literature review paper. We focus on prognostics benefits, approaches, applications, and challenges. This paper can be considered as the starting point for studying prognostics and health management.

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“…• Performance metrics are used to identify ROI which is a very important aspect that defines whether to deploy the prognostics system or not [6].…”

Section: Validation and Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prognostics: a literature review

Elattar

Elminir

Riad

2016

Complex Intell. Syst.

147

View full text Add to dashboard Cite

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“…Generally, prognostics verification research has been focused on the definition of prognostics metrics [2][3][4]. These metrics focus on the assessment of the prognostics model with This work was supported by the EPSRC through grant number EP/M008320/1.…”

Section: Related Workmentioning

confidence: 99%

“…The main prognostics metrics are [2,3]: prediction horizon: time difference between prediction and ground truth; -accuracy: evaluates if the prediction falls within -bounds of accuracy at a specific time instant t ; relative accuracy: an error measure of the RUL prediction relative to the ground truth; and convergence: quantifies the rate at which any previous metric improves with time. See [2,3] for the complete definitions and examples. More recent literature has updated these metrics to include the effect of uncertainties [4].…”

Section: Related Workmentioning

confidence: 99%

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On the use of probabilistic model-checking for the verification of prognostics applications

Aizpurua

Catterson

2015

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)

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Abstract-Prognostics aims to improve asset availability through intelligent maintenance actions. Up-to-date remaining useful life predictions enable the optimization of maintenance planning. Verification of prognostics techniques aims to analyze if the prognostics application meets the design requirements. Online prognostics applications depend on the data-gathering hardware architecture to perform correct prognostics predictions.Accordingly, when verifying prognostics requirements compliance, it is necessary to include the effect of hardware failures on prognostics predictions. In this paper we investigate the use of formal verification techniques for the integrated verification of prognostics applications including hardware and software components. Focusing on the probabilistic model-checking approach, a case study from the power industry shows the validity of the proposed framework.

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Bibliography

2016

From Prognostics and Health Systems Management to Predictive Maintenance 1

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Metrics for evaluating performance of prognostic techniques

Cited by 371 publications

References 34 publications

Prognostics: a literature review

Prognostics: a literature review

On the use of probabilistic model-checking for the verification of prognostics applications

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