Σύγκριση μεθόδων

	Διαρκής Παρακολούθηση της Δομικής Ακεραιότητας	Ανάλυση Πεπερασμένων Στοιχείων	Ανάλυση Τρόπων Ταλάντωσης	Στατιστική Ανάλυση Αξιοπιστίας
Πεδίο	Πολιτική Μηχανική	Επιστήμη Υλικών	Βιομηχανική Παραγωγή	Αξιοπιστία
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline	Regression model
Έτος προέλευσης	1980s–1990s (formalized as a discipline ~1993–2001)	1943	1975	1998
Δημιουργός	Multiple contributors (Charles Farrar, Keith Worden, and the broader SHM research community)	Richard Courant	Clough, R. W., Penzien, J.	William Meeker & Luis Escobar
Τύπος	Engineering monitoring and diagnostic framework	Computational method	Computational method for structural dynamics	Parametric lifetime modeling
Θεμελιώδης πηγή	Farrar, C. R., & Worden, K. (2007). An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A, 365(1851), 303–315.	Zienkiewicz, O. C., & Taylor, R. L. (1977). The Finite Element Method in Engineering Science. McGraw-Hill.	Clough, R. W., & Penzien, J. (1975). Dynamics of Structures. McGraw-Hill. ISBN: 0-07-011394-7	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
Εναλλακτικές ονομασίες	SHM, damage detection monitoring, condition monitoring of structures, vibration-based structural monitoring	FEA, finite element method	Eigenvalue analysis, Frequency response analysis, Natural frequencies	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Συναφείς	3	4	4	3
Σύνοψη	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.	Finite Element Analysis (FEA) is a numerical technique for obtaining approximate solutions to boundary value problems described by differential equations. Developed systematically by Richard Courant in 1943 and popularized by Clough in the 1960s, FEA divides a complex domain into smaller, simpler elements to solve engineering problems involving stress, strain, heat transfer, and fluid flow. It is the dominant computational method in materials science for predicting material behavior under various loading conditions.	Modal analysis is a computational and experimental method for determining the natural frequencies and associated mode shapes of a mechanical structure. By decomposing structural vibration into its fundamental modes (natural oscillation patterns), engineers can predict resonance frequencies, assess dynamic response to external forces, and design structures to avoid problematic vibrations. Developed rigorously by Clough and Penzien in their foundational work on structural dynamics, modal analysis is essential for designing robust mechanical systems.	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.