Salīdzināt metodes

	Konstrukciju veselības monitorings	Statistiskā uzticamības analīze
Nozare	Būvinženierija	Drošums
Saime	Process / pipeline	Regression model
Izcelsmes gads	1980s–1990s (formalized as a discipline ~1993–2001)	1998
Autors	Multiple contributors (Charles Farrar, Keith Worden, and the broader SHM research community)	William Meeker & Luis Escobar
Tips	Engineering monitoring and diagnostic framework	Parametric lifetime modeling
Pirmavots	Farrar, C. R., & Worden, K. (2007). An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A, 365(1851), 303–315.	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
Citi nosaukumi	SHM, damage detection monitoring, condition monitoring of structures, vibration-based structural monitoring	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Saistītās	3	3
Kopsavilkums	Structural Health Monitoring (SHM) is a process-based engineering methodology used in civil, mechanical, and aerospace engineering to continuously assess the condition of structures — bridges, buildings, dams, pipelines, and aircraft — through embedded or attached sensor networks. By acquiring real-time or periodic measurement data and applying signal processing and statistical pattern recognition, SHM aims to detect, locate, classify, and quantify damage before it reaches a critical state, enabling evidence-based maintenance decisions.	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.