পদ্ধতির তুলনা করুন

	কাঠামোগত স্বাস্থ্য পর্যবেক্ষণ	পরিসংখ্যানভিত্তিক নির্ভরযোগ্যতা বিশ্লেষণ
ক্ষেত্র	পুরকৌশল	নির্ভরযোগ্যতা
পরিবার	Process / pipeline	Regression model
উদ্ভবের বছর	1980s–1990s (formalized as a discipline ~1993–2001)	1998
প্রবর্তক	Multiple contributors (Charles Farrar, Keith Worden, and the broader SHM research community)	William Meeker & Luis Escobar
ধরন	Engineering monitoring and diagnostic framework	Parametric lifetime modeling
মৌলিক উৎস	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
অপর নাম	SHM, damage detection monitoring, condition monitoring of structures, vibration-based structural monitoring	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
সম্পর্কিত	3	3
সারসংক্ষেপ	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.