Simulation of bearing degradation by the use of the gamma stochastic process

• Autorzy: Louahem M'Sabah H. , Bouzaouit A. , Bennis Q.
• Języki publikacji: EN

Abstrakty

EN

An effective predictive maintenance reposed on modeling, simulation, and on supervisory and prognostic techniques used to model the various phenomena. On this basis, and based on significant knowledge and parameters, we propose an approach based on stochastic processes that represent a mathematical structure for simulation, mainly the processes of continuous degradation and more particularly the Gamma process. Our work is devoted to the monitoring of the degradation process of the bearings at the level of a motor pump and makes it possible to evaluate the limiting operating time, as well as the evolution in time of the change of state. This methodology allows us to develop a mathematical model that describes the process of bearing degradation, thus providing a good prediction of failures and efficient maintenance planning for systems whose behavior is only partially predictable.

Słowa kluczowe

EN

Gamma law; predictive maintenance; vibration analysis; stochastic process; Gamma process; simulation

PL

prawo Gamma; utrzymanie predykcyjne; analiza drgań; proces stochastyczny; proces gamma; symulacja

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 2018
• Tom: Vol. 22, nr 4
• Strony: 1309--1317
• Opis fizyczny: Bibliogr. 9 poz., wykr.

Twórcy

autor

Louahem M'Sabah H.

• Department of Mechanical Engineering, University of 20 August 1955, 28000 Skikda, Algeria

autor

Bouzaouit A.

• Department of Mechanical Engineering, University of 20 August 1955, 28000 Skikda, Algeria

autor

Bennis Q.

• PRISME Laboratory, Chartres Unite, 28000, Chartres, France

Bibliografia

• [1] Baussaron, J., Barreau, M., Gerville, L., Guerin, F., Schimmerling, P.: Estimation de la flabilité á partir de mesures de dégradation : quelles méthodes utiliser, 17e congrès de maitrise des risques et de sureté de fonctionnement, la Rochelle, France, 2010.
• [2] Saporta, G.: Probabilité et statistique analyse des données, 2e édition, 2006.
• [3] Louahem M'sabah, H.: Modeling degradation phenomenon of bearings by the Wiener and Gamma processes, Phd thesis, University of Skikda, 2016.
• [4] Abdel-Hameed, M.: A gamma wear process, IEEE Transaction on Reliability, 24, 2, 152-153, 1975.
• [5] Van Noortwijk, J. M.: A survey of the application of gamma processes in maintenance, Reliability Engineering and System Safety, 94, 1, 2-21, 2009.
• [6] Kong, M., Park, K.: Optimal replacement of an item subject to cumulative damage under periodic inspections, Microelectronics reliability, 37, 3, 467-472, 1997.
• [7] Castanier, B., Grall, A., Bérenguer, C.: A condition based maintenance policy with non periodic inspection for a two unit series system, Reliability Engineering and System Safety, 87, 109-120, 2005.
• [8] Dieulle, L., Bérenguer, C., Grall, A., Roussignol, M.: Sequential condition based maintenance scheduling for a deterioration system, EJOR J., 150, 2, 451-461, 2003.
• [9] Bosse, S., Quadri, G., Gilard, O., Cabarbaye, A.: Modéle prédictif de dégradation non linéaire dans des conditions d'environnements varies, Lambda Mu 18. congrès, France, 2012.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).