مقایسهٔ روش‌ها

	تحلیل قابلیت اطمینان مبتنی بر ریسک	تحلیل حالات شکست و اثرات آن (FMEA)
حوزه	طراحی آزمایش	طراحی آزمایش
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1960s–1990s (risk-informed frameworks codified ~1980s–1990s)	1949 (military); widespread industrial adoption 1970s–1980s
پدیدآور	Multiple contributors; formalized in reliability engineering literature from the 1960s onward (MIL-HDBK-217, IEC 60300 series)	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
نوع	Quantitative / semi-quantitative engineering analysis	Proactive risk analysis technique
منبع بنیادین	Modarres, M., Kaminskiy, M., & Krivtsov, V. (2006). Reliability Engineering and Risk Analysis: A Practical Guide (2nd ed.). CRC Press. ISBN: 978-0849392016	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
نام‌های دیگر	RBRA, risk-informed reliability analysis, risk-based dependability analysis, probabilistic risk and reliability assessment	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
مرتبط	6	6
خلاصه	Risk-based reliability analysis (RBRA) is an engineering methodology that combines classical reliability analysis — quantifying failure rates, component lifetimes, and system dependability — with risk assessment frameworks that weigh the severity and consequences of each failure mode. By ranking failures according to both their likelihood and their impact, RBRA guides engineers in allocating inspection, maintenance, and redesign resources where they matter most, rather than treating all potential failures as equally important.	Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.