International Journal of Applied Mathematics and Computer Science > 2022 > Vol. 32, no. 4 > 619--634
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Abstract
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journal ISSN : | 1641-876X |
journal e-ISSN : | 2083-8492 |
DOI | 10.34768/amcs-2022-0043 |
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Bibliography
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[2] AlShorman, O., Irfan, M., Saad, N., Zhen, D., Haider, N., Glowacz, A. and AlShorman, A. (2020). A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor, Shock and Vibration 2020, Article ID: 8843759.
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[3] Anis, M.D. (2018). Towards remaining useful life prediction in rotating machine fault prognosis: An exponential degradation model, Condition Monitoring and Diagnosis (CMD), Bentley, Australia, pp. 1–6, DOI: 10.1109/CMD.2018.8535765.