In this paper, we propose a novel Remaining Useful Life (RUL) ML-based spare part prediction that considers maintenance historical records, which are commonly ...
In this paper, we propose a novel Remaining Useful Life (RUL) ML-based spare part prediction that considers maintenance historical records, which are commonly ...
A novel Remaining Useful Life (RUL) ML-based spare part prediction that considers maintenance historical records, which are commonly available in several ...
(2022). A Machine Learning Approach for Spare Parts Lifetime Estimation. In Proceedings of the 14th International Conference on Agents and Artificial ...
Feb 5, 2022 · In this paper, we propose a novel Remaining Useful Life (RUL) ML-based spare part prediction that considers maintenance historical records, ...
Fingerprint. Dive into the research topics of 'A Machine Learning Approach for Spare Parts Lifetime Estimation'. Together they form a unique fingerprint.
Jan 1, 2022 · In this paper, we propose a novel Remaining Useful Life (RUL) ML-based spare part prediction that considers maintenance historical records, ...
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A Machine Learning Approach for Spare Parts Lifetime Estimation. L Macedo, LM Matos, P Cortez, A Domingues, G Moreira, AL Pilastri. ICAART (3), 765-772, ...
Forecasting is made with regression, rules, tree-based and artificial intelligence. Estimations are conducted with higher accuracy with artificial intelligence.
This paper integrates the performance degradation of spare parts into lifetime estimation for stochastic multi-component degrading systems with congeneric key ...