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Information Journal Paper

Title

Determine the Remaining Useful Life in Equipment, Based on Prognostics of Degradation Processes, using ARMRS model

Pages

  15-29

Keywords

Remaining Useful Life (RUL)Q1
Prognostics & Health Management (PHM)Q1
Autoregressive Markov Regime Switching (ARMRS)Q1

Abstract

 Condition Assessment is one of the most significant techniques of the equipment health management. PHM cycle is a developed form of Condition Based Maintenance (CBM). Condition Assessment is the most important step of this cycle. In this paper, a process is presented in which by introducing a new Feature for vibration, simulating and predicting it using a autoregressive Markov regime switching model, and using a new approach for combining condition monitoring sensor information based on Fuzzy C-Means clustering and Dempster-Shafer theory, the Degradation state is determined and remaining useful life is estimated. In order to evaluate the model, sensor data for PHM Data Challenge 2012 have been used to forecast the bearing's Remaining Useful Life and the results of the study have been compared with the winning results. The results obtained from the comparison show the competitiveness of the proposed model with the winner of challenge.

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    APA: Copy

    RAMEZANI, SAEED, MOINI, ALIREZA, & RIAHI, MOHAMMAD. (2019). Determine the Remaining Useful Life in Equipment, Based on Prognostics of Degradation Processes, using ARMRS model. AEROSPACE MECHANICS JOURNAL, 15(4 (58) ), 15-29. SID. https://sid.ir/paper/370633/en

    Vancouver: Copy

    RAMEZANI SAEED, MOINI ALIREZA, RIAHI MOHAMMAD. Determine the Remaining Useful Life in Equipment, Based on Prognostics of Degradation Processes, using ARMRS model. AEROSPACE MECHANICS JOURNAL[Internet]. 2019;15(4 (58) ):15-29. Available from: https://sid.ir/paper/370633/en

    IEEE: Copy

    SAEED RAMEZANI, ALIREZA MOINI, and MOHAMMAD RIAHI, “Determine the Remaining Useful Life in Equipment, Based on Prognostics of Degradation Processes, using ARMRS model,” AEROSPACE MECHANICS JOURNAL, vol. 15, no. 4 (58) , pp. 15–29, 2019, [Online]. Available: https://sid.ir/paper/370633/en

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