Health-and-usage-based maintenance policies for a partially observable deteriorating system

Deloux, Estelle; Fouladirad, Mitra; Bérenguer, Christophe

doi:10.1177/1748006x15609863

Cited by 6 publications

(10 citation statements)

References 30 publications

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“…where R (u) denotes the survival function of U . Applying (30) for U = ρ (τ i | X τi = x) and h (u) = u 2 , then…”

Section: Proof Of (9)mentioning

confidence: 99%

“…• condition monitoring scheme. Condition monitoring (CM) can be carried out continuously [26][27][28] or discretely [29,30]. By continuous CM, a machine is continuously monitored, and a warning alarm is triggered whenever something wrong is detected.…”

Section: Introductionmentioning

confidence: 99%

“…Other examples can be found in [30,[55][56][57][58]. From these works, it is surprising to realize that the performances of the considered maintenance policies are more or less equivalent, and that using (not properly) prognosis information might not make a difference.…”

Section: Introductionmentioning

confidence: 99%

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

2019

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Health prognosis is an advanced process to forecast the future state of systems, structures and components. Even if it is now recognized as a key enabling step for the maintenance performance improvement on systems and structures, the issue of post-prognosis maintenance decision-making (i.e., how to use prognosis results to eventually make maintenance decisions) remains open. Faced with this situation, we propose a parametric predictive maintenance decision framework that can take into account properly the system remnant life in maintenance decisions. Unlike more classical frameworks, it uses the estimated precision on the prognosis of the system residual useful life as a condition index to decide for and to schedule the interventions on the system. The proposed framework is developed for a single-unit stochastically deteriorating system, maintained through inspection and replacement operations. Using results from the theory of semi-regenerative phenomena, the analytical maintenance cost model is derived for the long-run expected maintenance cost rate. The proposed maintenance decision structure is compared to a classical benchmark framework; numerical experiments evidence the performance and the robustness of the new framework, and confirm the benefit of basing maintenance decisions explicitly on the precision of the system health prognosis (and not only on e.g., the mean value of the estimated residual life).

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“…where R (u) denotes the survival function of U . Applying (30) for U = ρ (τ i | X τi = x) and h (u) = u 2 , then…”

Section: Proof Of (9)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2019

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“…7 Furthermore, gamma processes possess some attractive mathematical properties that facilitate model development. Some of the recent research efforts that involve the use of gamma processes include Caballe´et al, 8 Ling et al, 9 and Deloux et al 10 In most existing researches, degradation behavior is modeled by a homogeneous stochastic process. 11,12 For gamma process-based degradation modeling, this means that degradation increment in each unit time follows an identical distribution.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling for systems degrading in K cyclical regimes based on gamma processes

Shen

Elwany

Cui

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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Regime switching models represent an important research direction in reliability engineering and degradation modeling. In practice, complex engineering systems typically operate under variable environmental conditions or mission requirements, each having distinct influence of system degradation. In this article, we study a system deteriorating in K cyclical regimes, where the degradation behavior of the system during each regime is governed by a distinct gamma process. We first derive the cumulative distribution function of the first passage time under this setting. Next, we determine system availability when maintenance actions are taken into consideration under the scenario where regime switching only takes place during the system uptime. Finally, we give some numerical examples to demonstrate and validate the proposed framework.

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“…Given the broad spectrum of potential applications, including industry, health, and usage monitoring systems (HUMS), defense and security, earth science and aerospace, many different remote sensing approaches, operating either in a passive or active way, have been proposed or developed [1,2]. Nonetheless, the large civil and industrial use of air conditioning units, turbines, engines and electric motors makes remote detection of rotating machinery and its condition monitoring a very important subject still to be fully addressed [3,4].…”

Section: Introductionmentioning

confidence: 99%

Remote detection of rotating machinery with a portable atomic magnetometer

et al. 2017

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We demonstrate remote detection of rotating machinery, using an atomic magnetometer at room temperature and in an unshielded environment. The system relies on the coupling of the AC magnetic signature of the target with the spin-polarized, precessing atomic vapor of a radio-frequency optical atomic magnetometer. The AC magnetic signatures of rotating equipment or electric motors appear as sidebands in the power spectrum of the atomic sensor, which can be tuned to avoid noisy bands that would otherwise hamper detection. A portable apparatus is implemented and experimentally tested. Proof-of-concept investigations are performed with test targets mimicking possible applications, and the operational conditions for optimum detection are determined. Our instrument provides comparable or better performance than a commercial fluxgate and allows detection of rotating machinery behind a wall. These results demonstrate the potential for ultrasensitive devices for remote industrial and usage monitoring, security, and surveillance.

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Health-and-usage-based maintenance policies for a partially observable deteriorating system

Cited by 6 publications

References 30 publications

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

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

Reliability modeling for systems degrading in K cyclical regimes based on gamma processes

Remote detection of rotating machinery with a portable atomic magnetometer

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