Salīdzināt metodes

	Risk-based failure mode and effects analysis	Statistiskā uzticamības analīze
Nozare	Eksperimentu plānošana	Drošums
Saime	Process / pipeline	Regression model
Izcelsmes gads	1949 (FMEA origins); risk-prioritised RPN framework circa 1977–1980s (AIAG automotive)	1998
Autors	U.S. Department of Defense / MIL-STD-1629A; formalised in IEC 60812	William Meeker & Luis Escobar
Tips	Quantitative risk-prioritisation technique	Parametric lifetime modeling
Pirmavots	International Electrotechnical Commission. (2018). IEC 60812:2018 — Failure modes and effects analysis (FMEA and FMECA). IEC.	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
Citi nosaukumi	RBFMEA, Risk-based FMEA, Risk-prioritised FMEA, Quantitative FMEA	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Saistītās	6	3
Kopsavilkums	Risk-based failure mode and effects analysis (RBFMEA) is a structured engineering technique that identifies every way a system or process can fail, assesses the risk of each failure mode using a numerical Risk Priority Number (RPN = Occurrence × Severity × Detectability), and prioritises corrective actions accordingly. Rooted in MIL-STD-1629A and standardised in IEC 60812:2018, it is the dominant proactive reliability and safety tool in aerospace, automotive, pharmaceutical, and manufacturing industries.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.