Effects of environmental and operational variability on structural health monitoring

By Hoon Sohn. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2007

891 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/03f33b5c2df2ddb5ad2c94fbe680d8e4eec8cdd7

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In Civil and Structural Engineering

In Mechanics of Materials

Citations in the corpus

Baseline-free Imaging Method based on New PZT Sensor Arrangements (2009, methodology): “By comparing the reconstructed signal with the known excitation signal, Park and Sohn (2007) developed a baseline-free damage diagnosis technique by which certain types of defects along the wave propagation path between any two PZT elements can be detected.”
Features for damage detection with insensitivity to environmental and operational variations (2012, background): “For a good review of previous approaches to the data normalization problem, readers are referred to Sohn (2007).”
A review of damage detection methods for wind turbine blades (2015, methodology): “To eliminate these environmental and operational influences of turbine blades, data normalization methods such as factor analysis, statistical means (Sohn 2007), cointegration, outlier analysis and principal component analysis (Cross et al 2012) and recent state- space reconstruction (Figueiredo et…”
Time reversal active sensing for health monitoring of a composite plate (2007, background): “Therefore, data normalization, which attempts to distinguish signal changes originated from structural damage from those caused by natural variations of the system, needs to be addressed [18].”
Efficient temperature compensation strategies for guided wave structural health monitoring. (2010, methodology): “Theoretical results are compared, using data from two independent long-term experiments, which use predominantly A0 mode and S0 mode data respectively.”
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “Several works 15,19,72 – 74 have shown that the dynamic performance of bridges varies signi ﬁ cantly depending on the condition that the bridge is subjected to daily.”
Feature Extraction and Sensor Fusion for Ultrasonic Structural Health Monitoring Under Changing Environmental Conditions (2009, methodology): “As SHM methods that have been developed and evaluated in the laboratory are being transitioned to field operation, the influence of environmental and operational changes is becoming of increasing concern [1].”
A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions (2017, background): “Most problematic of such variables is temperature [89], with many techniques having been developed over the years dedicated to estimating and mitigating its influence; generally through various data normalisation techniques, see Sohn [90] and Xia et al. [96].”
An introduction to structural health monitoring (2007, background): “Articles appearing within this theme issue that focus on the statistical modelling portion of the SHM process include Hayton et al. (2007), Sohn (2007) and Worden & Manson (2007).”
Simulation Methods for Guided Wave-Based Structural Health Monitoring: A Review (2015, background): “The influence of ambient conditions on the propagation of elastic guided waves is an active field of research [129, 140, 235].”