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| Dự đoán thời gian sử dụng hữu ích còn lại (RUL) và Tiên đoán× | Đếm Dòng Chảy Mưa× | |
|---|---|---|
| Lĩnh vực | Kỹ thuật độ tin cậy | Kỹ thuật độ tin cậy |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2000s | 1974 |
| Người khởi xướng≠ | George Vachtsevanos and others | Tatsuo Endo |
| Loại≠ | Predictive analytics methodology | Cycle counting algorithm |
| Công trình gốc≠ | Vachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Wiley. DOI ↗ | Goodman, J. (1899). Mechanics Applied to Engineering. Longman, Green and Co. link ↗ |
| Tên gọi khác≠ | RUL, Remaining useful life, PHM, Prognostics and Health Management | Rainflow cycle counting, RFC |
| Liên quan | 4 | 4 |
| Tóm tắt≠ | Prognostics and Health Management (PHM) is a methodology for predicting the remaining useful life (RUL) of equipment by monitoring its condition and extrapolating degradation trends. Unlike reactive maintenance (wait for failure) or preventive maintenance (fixed schedules), prognostics enable predictive maintenance: act only when failure is imminent. Formalized in the 2000s by researchers including George Vachtsevanos, RUL prediction integrates sensor data, degradation models, and uncertainty quantification to inform maintenance planning and reduce downtime. | Rainflow counting is a fatigue cycle counting method that converts a complex stress history into individual cycles for damage assessment. Developed by Tatsuo Endo and colleagues in 1974, it provides the most physically realistic representation of fatigue damage when combined with Miner's linear cumulative damage hypothesis. The algorithm has become the industry standard in reliability engineering and vibration analysis. |
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