Identification and Compensation Technique of Non-Uniform Temperature Field for Lamb Wave-and Multiple Sensors-Based Damage Detection

Abstract

Lamb wave-based damage detection for large-scale composites is one of the most prosperous structural health monitoring technologies for aircraft structures. However, the temperature has a significant effect on the amplitude and phase of the Lamb wave signal so that temperature compensation is always the focus problem. Especially, it is difficult to identify the damage in the aircraft structures when the temperature is not uniform. In this paper, a compensation method for Lamb wave-based damage detection within a non-uniform temperature field is proposed. Hilbert transform and Levenberg-Marquardt optimization algorithm are developed to extract the amplitude and phase variation caused by the change of temperature, which is used to establish a data-driven model for reconstructing the reference signal at a certain temperature. In the temperature compensation process, the current Lamb wave signal of each exciting-sensing path under the estimated structural condition is substituted into the data-driven model to identify an interpolated initial temperature field, which is further processed by an outlier removing algorithm to eliminate the effect of damage and get the actual non-uniform temperature field. Temperature compensation can be achieved by reconstructing the reference signals within the identified non-uniform temperature field, which are used to compare with the current acquired signals for damage imaging. Both simulation and experiment were conducted to verify the feasibility and effectiveness of the proposed non-uniform temperature field identification and compensation technique for Lamb wave-based structural health monitoring.

A Practical Structural Health Monitoring System for High-Speed Train Car-Body

“…Therefore, the acquired signal should be reconstructed by considering the temperature in current ambient [25]. Previously, many temperature compensation technologies have been developed [26]- [28]. In this study, the baseline sensor data is compesated by shifting and scaling of the sensor signal intelligently.…”

Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions

“…The properties could be mechanical—such as elastic Young’s modulus , Poisson ratio , velocity , density —or geometrical properties—such as length, thickness, or shape [ 2 ]. Load stress and environmental operation conditions effect on the structures contributes to its property variation [ 3 , 4 , 5 , 6 , 7 , 8 ]. The accumulation of these changes over time results in a catastrophic structural failure that may be detrimental to the economy, environment and human lives [ 9 ].…”

Influence and Compensation of Temperature Effects for Damage Detection and Localization in Aerospace Composites

“…In this paper, the SHM traditional point of view was applied, using baseline datasets information, and a data-driven method was used for the evaluation and correction of temperature effects [26], assuming that the temperatures distribution field on the sample was homogeneous [27], as well as based on minimizing the difference between several types of baseline tests, adjusting each of them to a reference temperature and, with the use of polynomial regression, being able to estimate the parameters used for compensating a signal recorded at the current damaged state, at a certain temperature at which the baseline data is not available. Finally, to check the effectiveness of the method applied to damage detection and location, the data from the current state were adapted to several available baselines at several different temperatures, and an artificial damage was detected and located, using an imaging algorithm (RAPID, Reconstruction Algorithm for Probabilistic Inspection of Damage) [28] and, based on previous experience [29], a modification of this algorithm (RAPID-G).…”