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| Прогностика и прогнозиране на оставащия полезен живот (RUL)× | Високоускорен тест на живота (HALT)× | |
|---|---|---|
| Област | Инженерство на надеждността | Инженерство на надеждността |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s | 1990s |
| Създател≠ | George Vachtsevanos and others | William Leis and others |
| Тип≠ | Predictive analytics methodology | Product reliability testing methodology |
| Основополагащ източник≠ | Vachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Wiley. DOI ↗ | Leis, B. N., & Stephens, D. R. (2011). Reliability methodologies for structural integrity assessment. Journal of Pressure Vessel Technology, 133(5), 051204. link ↗ |
| Други названия≠ | RUL, Remaining useful life, PHM, Prognostics and Health Management | HALT, Accelerated stress testing, HASS |
| Свързани | 4 | 4 |
| Резюме≠ | 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. | Highly Accelerated Life Testing (HALT) is a methodology for rapidly identifying design weaknesses and determining the margin between normal operating conditions and product failure. By applying extreme but non-destructive stress profiles (thermal, vibration, etc.), HALT accelerates the failure clock to reveal latent defects in weeks rather than years. Developed intensively from the 1980s onward and refined by practitioners in electronics and mechanical systems, HALT has become essential in accelerated product development and reliability validation. |
| ScholarGateНабор от данни ↗ |
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