Numerical Analysis and Experimental Verification of Damage Identification Metrics for Smart Beam with MFC Elements to Support Structural Health Monitoring

Koszewnik, Andrzej; Lesniewski, Kacper; Pakrashi, Vikram

doi:10.3390/s21206796

Cited by 10 publications

(7 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Presented in Figs. 9 , 10 , and 11 RPs were made in the cross-recurrence plot toolbox proposed in 30 . Observing these diagrams, it can be seen that all represent recurrence plots of the UAV arm with the intact and fault UA system supplied by the PWM signal with three chosen values of the PWM duty cycles 35% 40%, 50% respectively.…”

Section: Analysis On the Amount Of Piezoelectric Sensorsmentioning

confidence: 99%

Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis

Koszewnik,

Ambroziak,

Ołdziej

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

This paper is focused on the diagnostics of multicopter UAV propulsion system, in which the temporary transient states occur during operation in faulty conditions (eg. not all motor phases working properly). As a diagnostic sensor, the piezo strip has been used, which is very sensitive to any vibrations of the multi-rotor frame. The paper concerns the precise location of the sensor for more effective monitoring of the propulsion system state. For this purpose, a nonlinear analysis of the vibration times series was carefully presented. The obtained non-linear time series were studied with the recurrence analysis in short time windows, which were sensitive to changes in Unmanned Aerial Vehicle motor speeds. The tests were carried out with different percentage of the pulse width modulation signal used for the operation of the brushless motor and for different locations of the piezosensor (side and top planes of the multicopter arm). In the article, it was shown that the side location of the piezosensor is more sensitive to changes in the Unmanned Aerial Vehicle propulsion system, which was studied with the Principal Component Analysis method applied for four main recurrence quantifications. The research presented proves the possibility of using nonlinear recurrence analysis for propulsion system diagnostics and helps to determine the optimal sensor location for more effective health monitoring of multicopter motor.

show abstract

Section: Analysis On the Amount Of Piezoelectric Sensorsmentioning

confidence: 99%

Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis

Koszewnik,

Ambroziak,

Ołdziej

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…A sudden failure caused by a propeller breaking off or the engine falling out can, therefore, be quickly noted if we use an appropriate detection system. Our idea is to use piezoelectric elements already successfully applied in energy harvesting (EH) applications [ 24 , 25 ], structure damage monitoring [ 26 ] and also implemented and tested on a UAV [ 27 ]. The piezoelectric sensor generates a variable voltage that can be related to the frequency and amplitude of the deflection.…”

Section: The Idea Of Motor Failure Piezo Sensormentioning

confidence: 99%

Multirotor Motor Failure Detection with Piezo Sensor

Ambroziak

Ołdziej

Koszewnik

2023

Sensors

Self Cite

View full text Add to dashboard Cite

Failure detection of Unmanned Aerial Vehicle (UAV) motors and propulsion systems is the most important step in the implementation of active fault-tolerant control systems. This will increase the reliability of unmanned systems and increase the level of safety, especially in civil and commercial applications. The following paper presents a method of motor failure detection in the multirotor UAV using piezo bars. The results of a real flight, in which the failure of the propulsion system caused the crash of a hybrid VTOL UAV, were presented and analyzed. The conclusions drawn from this flight led to the development of a lightweight, simple and reliable sensor that can detect a failure of the UAV propulsion system. The article presents the outcomes of laboratory tests concerning measurements made with a piezo sensor. An extensive analysis of the obtained results of vibrations recorded on a flying platform arm with a propulsion system is presented, and a methodology for using this type of data to detect failures is proposed. The article presents the possibility of using a piezoelectric sensor to record vibrations on the basis of which it is possible to detect a failure of the UAV propulsion system.

show abstract

“…Conversely, when dealing with sensitive structures, where even minor damages are of concern, more sensitive detection methods are required. In such cases, ultrasonic wave propagation techniques, as demonstrated by [12], offer a more suitable approach, leveraging vibration response-based techniques.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Damage Detection in 2D Concrete Plates: A Comprehensive Study on Interpolation Methods and Parameters

Diab,

Nestorović

2024

Actuators

View full text Add to dashboard Cite

In an era marked by increasing demands for stability and durability in construction, the importance of damage detection in concrete structures cannot be overstated. As these structures underpin the safety and longevity of vital assets, this paper embarks on a comprehensive exploration of methodologies to enhance precision and reliability in 2D concrete plate damage detection. By focusing on the interpolation of damage index values and leveraging the insights gained from energy loss analysis and the characterization of the time of arrival of signals, we address the pressing need for improved non-destructive damage detection techniques. Our study encompasses a range of simulation attempts, each involving various interpolation parameters, and systematically evaluates their performance. The culmination of this research identifies the most effective combination of techniques and parameters, leading to the best results in damage detection. This multidimensional investigation promises to provide valuable contributions to the field of structural health monitoring, benefiting both researchers and practitioners engaged in the evaluation of concrete structures.

show abstract

Numerical Analysis and Experimental Verification of Damage Identification Metrics for Smart Beam with MFC Elements to Support Structural Health Monitoring

Cited by 10 publications

References 43 publications

Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis

Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis

Multirotor Motor Failure Detection with Piezo Sensor

Enhancing Damage Detection in 2D Concrete Plates: A Comprehensive Study on Interpolation Methods and Parameters

Contact Info

Product

Resources

About