RESEARCH PAPER
Failure-based sealing reliability analysis considering dynamic interval and hybrid uncertainties
1
School of Reliability and Systems Engineering, Beihang University (BUAA), No.37 XueYuan RD. Haidian, Beijing 100191, China
2
Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
3
Faculty of Organization and Management, Silesian University of Technology, ul. Roosevelta 26-28, 41-800 Zabrze, Poland
4
Faculty of Management Engineering, Poznan University of Technology, ul. Prof. Rychlewskiego 2, 60-965 Poznan, Poland
Publication date: 2021-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(2):278-284
HIGHLIGHTS
- The degradation with a small sample is modelled using a dynamic interval process.
- The reliability model with hybrid uncertainty is proposed.
- The case study of sealing reliability prediction and evaluation is presented.
KEYWORDS
ABSTRACT
In the reliability analysis of a sealing structure, radial clearance of the contact surface is usually regarded as a failure criterion, and the sample size is usually quite small, which brings
great challenges to uncertainty quantification. Therefore, this paper proposes a reliability
analysis method based on the leakage mechanism of the sealing. With the application of
dynamic interval, the proposed method can be used to deal with problem of degradation in
small sample to evaluate reliability. Moreover, the dynamic reliability with the mixture of
the probabilistic and non-probabilistic variables can be obtained using the proposed method.
An illustrative numerical case study of a spool valve is conducted in order to validate the
proposed method and the implemented reliability sensitivity analysis. The proposed method
is of great help in evaluating and predicting reliability with small degradation sample and
hybrid uncertainties.
REFERENCES (47)
1.
Andrieu-Renaud C, Sudret B, Lemaire M. The PHI2 method: a way to compute time-variant reliability. Reliability Engineering & System Safety 2004; 84(1): 75-86, https://doi.org/10.1016/j.ress....
2.
Au SK, Beck JL. Subset simulation and its application to seismic risk based on dynamic analysis. Journal of Engineering Mechanics 2003; 129(8): 901-917, https://doi.org/10.1061/(ASCE)...).
3.
Bartkowiak T, Berglund J, Brown CA. Establishing functional correlations between multiscale areal curvatures and coefficients of friction for machined surfaces. Surface Topography: Metrology and Properties 2018; 6(3): 034002, https://doi.org/10.1088/2051-6....
4.
Bartkowiak T, Berglund J, Brown CA. Multiscale characterizations of surface. Materials 2020; 13(13): 3028, https://doi.org/10.3390/ma1313....
5.
Bourinet JM, Deheeger F, Lemaire M. Assessing small failure probabilities by combined subset simulation and support vector machines. Structural Safety 2011; 33(6): 343-353, https://doi.org/10.1016/j.stru....
6.
Brunskill H, Harper P, Lewis R. The real-time measurement of wear using ultrasonic reflectometry. Wear 2015; 332-333: 1129-1133, https://doi.org/10.1016/j.wear....
7.
Chakraborty S, Sam P C. Probabilistic safety analysis of structures under hybrid uncertainty. International Journal for Numerical Methods in Engineering 2007; 70(4): 405-422, https://doi.org/10.1002/nme.18....
8.
Ciampoli M. Time dependent reliability of structural systems subject to deterioration. Computers Structures 1998; 67(1-3): 29-35, https://doi.org/10.1016/S0045-....
9.
Du X. Interval reliability analysis. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2007; 48078: 1103-1109, https://doi.org/10.1115/DETC20....
10.
En XN, Zhang YM, Huang XZ. Time-variant reliability analysis of a continuous system with strength deterioration based on subset simulation. Advances in Manufacturing 2019; 7(2): 188-198, https://doi.org/10.1007/s40436....
11.
Fan M, Zeng Z, Kang R, et al. Reliability modeling of a spool valve considering dependencies among failure mechanisms. Safety and Reliability of Complex Engineered Systems-Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015: 4407-4411, https://doi.org/10.1201/b19094....
12.
Franciosi C, Voisin A, Miranda S, Riemma S, Iung, B. Measuring maintenance impacts on sustainability of manufacturing industries: from a systematic literature review to a framework proposal. Journal of Cleaner Production 2020; 260: 121065, https://doi.org/10.1016/j.jcle....
13.
Fraser K, Hvolby HH, Tseng TL. Maintenance management models: a study of the published literature to identify empirical evidence. International Journal of Quality & Reliability Management 2015; 32(6): 635-664, https://doi.org/10.1108/IJQRM-....
14.
Gordić D, Babić M, Milovanović D, et al. Spool valve leakage behavior. Archives of Civil and Mechanical Engineering 2011, 11(4): 859-866, https://doi.org/10.1016/S1644-....
15.
Gorjian N, Ma L, Mittinty M, et al. A review on degradation models in reliability analysis. Engineering Asset Lifecycle Management. Springer, London 2010: 369-384, https://doi.org/10.1007/978-0-....
16.
Holgado M, Macchi M, Evans S. Exploring the impacts and contributions of maintenance function for sustainable manufacturing, International Journal of Production Research 2020; 58: 7292-7310, https://doi.org/10.1080/002075....
17.
Hurtado JE, Alvarez DA. The encounter of interval and probabilistic approaches to structural reliability at the design point. Computer Methods in Applied Mechanics and Engineering 2012; 225-228: 74-94, https://doi.org/10.1016/j.cma.....
18.
Janik A, Ryszko A. Mapping the field of Industry 4.0 based on bibliometric analysis. Vision 2020: Sustainable Economic Development and Application of Innovation Management, 32nd Conference of the International-Business-Information-Management-Association (IBIMA) 2018: 6316-6330.
19.
Jasiulewicz-Kaczmarek M, Gola A. Maintenance 4.0 Technologies for Sustainable Manufacturing - an Overview. IFAC PapersOnLine 2019; 52-10: 91-96, https://doi.org/10.1016/j.ifac....
20.
Jiang C, Zheng J, Han X. Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review. Structural and Multidisciplinary Optimization 2018; 57(6): 2485-2502, https://doi.org/10.1007/s00158....
21.
Kang R, Zhang Q, Zeng Z, et al. Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics. Chinese Journal of Aeronautics 2016; 29(3): 571-579, https://doi.org/10.1016/j.cja.....
22.
Kozłowski E, Mazurkiewicz D, Kowalska B, Kowalski D. Application of multidimensional scaling method to identify the factors influencing on reliability of deep wells. In: Burduk A, Chlebus E, Nowakowski T, Tubis A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing 2019; 835: 56-65, https://doi.org/10.1007/978-3-....
23.
Lehner JT, Brown CA. Wear of abrasive particles in slurry during lapping. In: Proceedings of the ASME2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME2014, International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference 2014; 45813: V002T02A01, https://doi.org/10.1115/MSEC20....
24.
Liao BP, Sun B, Li Y, et al. Sealing reliability modeling of aviation seal based on interval uncertainty method and multidimensional response surface. Chinese Journal of Aeronautics 2019; 32(9): 2188-2198, https://doi.org/10.1016/j.cja.....
25.
Liao BP, Sun B, Yan MC, et al. Time-variant reliability analysis for rubber O-ring seal considering both material degradation and random load. Materials 2017; 10(10): 1211, https://doi.org/10.3390/ma1010....
26.
Liu D, Wang S, Tomovic MM. Degradation modeling method for rotary lip seal based on failure mechanism analysis and stochastic process. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22 (3): 381-390, https://doi.org/10.17531/ein.2....
27.
Loska A, Moczulski W, Wyczółkowski R, Dąbrowski A. Integrated system of control and management of exploitation of water supply system. Diagnostyka 2016; 17(1): 65-74.
28.
Loska, A, Paszkowski W. SmartMaintenance - The Concept of Supporting the Exploitation Decision-Making Process in the Selected Technical Network System. In: Burduk A., Mazurkiewicz D. (eds) Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017. Advances in Intelligent Systems and Computing, 2018; 637: 64-73, https://doi.org/10.1007/978-3-....
29.
Marquez AC. The maintenance management Framework. Models and methods for complex systems maintenance. London: Springer Verlag, 2007.
30.
Nicolas L, Pierre B, Cécile M, Nicolas G. AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models. Structure Safety 2018; 73:1-11, https://doi.org/10.1016/j.stru....
31.
Park JY, Han S W, Jeong HS, et al. Advanced sealing system to prevent leakage in hydroforming. Journal of Materials Processing Technology 2017; 247: 103-110, https://doi.org/10.1016/j.jmat....
32.
Shahraki AF, Yadav OP, Liao H. A review on degradation modelling and its engineering applications. International Journal of Performability Engineering 2017; 13(3): 299-314, https://doi.org/10.23940/ijpe.....
33.
Sun B, Jiang X, Yung KC, et al. A review of prognostic techniques for high-power white LEDs. IEEE Transactions on Power Electronics 2016; 32(8): 6338-6362, https://doi.org/10.1109/TPEL.2....
34.
Sun B, Li MM, Liao BP, et al. Time-variant reliability modeling based on hybrid non-probability method. Archive of Applied Mechanics 2020; 90(2): 209-219, https://doi.org/10.1007/s00419....
35.
Sun B, Li Y, Wang Z, et al. An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump. Measurement 2020:108604, https://doi.org/10.1016/j.meas....
36.
Sun B, Yan MC, Feng Q, et al. Gamma degradation process and accelerated model combined reliability analysis method for rubber O-rings. IEEE Access 2018; 6: 10581-10590, https://doi.org/10.1109/ACCESS....
37.
Turner CJ, Emmanouilidis C, Tomiyama T, Tiwari A, Roy R. Intelligent decision support for maintenance: an overview and future trends. International Journal of Computer Integrated Manufacturing 2019; 32: 936-959, https://doi.org/10.1080/095119....
38.
Wang L, Wang X, Chen X, et al. Time-variant reliability model and its measure index of structures based on a non-probabilistic interval process. Acta Mechanica 2015; 226(10): 3221-3241, https://doi.org/10.1007/s00707....
39.
Wang P, Yang L, Zhao N, Li L, Wang DA. New SORM Method for Structural Reliability with Hybrid Uncertain Variables. Applied Science,2021, 11: 346, https://doi.org/10.3390/app110....
40.
Wang P, Zhang J, Zhai H, Qiu, J. A new structural reliability index based on uncertainty theory. Chinese Journal of Aeronautics 2017; 30: 1451-1458, https://doi.org/10.1016/j.cja.....
41.
Wronkowicz-Katunin A, Mihaylov G, Dragan K, Timofiejczuk A. Uncertainty Estimation for Ultrasonic Inspection of Composite Aerial Structures. Journal of Nondestructive Evaluation 2019; 38(3): 1-20, https://doi.org /10.1007/s10921-019-0622-5.
42.
Yang L, Nie S, Zhang A. Non-probabilistic wear reliability analysis of swash-plate/slipper of water hydraulic piston motor based on convex model. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 2013; 227(3): 609-619, https://doi.org/10.1177/095440....
43.
Yang YJ, Peng WW, Meng D, et al. Reliability analysis of direct drive electrohydraulic servo valves based on a wear degradation process and individual differences. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2014; 228(6): 621-630, https://doi.org/10.1177/174800....
44.
Yang YJ, Peng WW, Zhu SP, et al. A Bayesian approach for sealing failure analysis considering the non-competing relationship of multiple degradation processes. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18 (1): 10-15, http://doi.org/10.17531/ein.20....
45.
You L, Zhang J, Li Q, et al. Structural reliability analysis based on fuzzy random uncertainty. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21 (4): 599-609, http://doi.org/10.17531/ein.20....
46.
Zaman K, Rangavajhala S, Mcdonald MP, Mahadevan S. A probabilistic approach for representation of interval uncertainty. Reliability Engineering & System Safety 2011; 96: 117-130, https://doi.org/10.1016/j.ress....
47.
Zhang J, Qiu J, Wang P. Hybrid Reliability Analysis for Spacecraft Docking Lock with Random and Interval Uncertainty. International Journal of Aerospace Engineering 2017: 3920267, https://doi.org/10.1155/2017/3....
CITATIONS (3):
1.
A method for estimating the probability distribution of the lifetime for new technical equipment based on expert judgement
Karol Andrzejczak, Lech Bukowski
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Karol Andrzejczak, Lech Bukowski
Eksploatacja i Niezawodnosc - Maintenance and Reliability
2.
Assessing the Barriers to Industry 4.0 Implementation From a Maintenance Management Perspective - Pilot Study Results
Malgorzata Jasiulewicz-Kaczmarek, Katarzyna Antosz, Chao Zhang, Robert Waszkowski
IFAC-PapersOnLine
Malgorzata Jasiulewicz-Kaczmarek, Katarzyna Antosz, Chao Zhang, Robert Waszkowski
IFAC-PapersOnLine
3.
Advances in Reliability and Maintainability Methods and Engineering Applications
Dariusz Mazurkiewicz, Yi Ren, Cheng Qian
Dariusz Mazurkiewicz, Yi Ren, Cheng Qian
Share
RELATED ARTICLE
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
