Inspection of Piezoceramic Transducers Used for Structural Health Monitoring

Mueller, Inka; Fritzen, Claus‐Peter

doi:10.3390/ma10010071

Cited by 40 publications

(56 citation statements)

References 31 publications

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“…Further work in this regard can be found in [29,[35][36][37][38][39]. Using more information like the resonance behavior included in the EMI-spectrum enables the detection of minor PWAS faults and is especially valuable for the inspection of embedded transducers [40][41][42]. This is possible with the use of a physical model [4] or by utilizing purely datadriven approaches [43].…”

Section: Methods Of Transducer Inspectionmentioning

confidence: 99%

“…Using principal component analysis (PCA), they can be aggregated to a damage index DI model . For details, the reader is referred to [4,42].…”

Section: Model-based Methodsmentioning

confidence: 99%

“…A possible approach for this is described in [49,42] and suggests using statistical methods, based on the probability of detection (POD) approach: it enables increased knowledge of the combination of transducer inspection and SHM system, including the value, which the structural damage detection indicator reaches, before a defective transducer can be detected with a probability of 90% at a confidence level of 95% (SDI_90|95). A complete reliability analysis needs to incorporate the interaction of SHM system and transducer inspection system.…”

Section: Transducer Inspection In the Context Of The Whole Shm Systemmentioning

confidence: 99%

“…For the correlation coefficient-based method, all three stages of fault can be clearly identified and separated from the undamaged state (see Figure 10c). For detailed information about the experimental setup, see [43,42].…”

Section: Detection Of Cracks In and Debonding Of Transducersmentioning

confidence: 99%

See 3 more Smart Citations

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Mueller¹,

Fritzen²

2018

Structural Health Monitoring From Sensing to Processing

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In the chain from sensing to information extraction, there are many traps where errors can occur, which might lead to false alarms and therefore leave us with the impression of an unreliable system. In this chapter, we deal with the important first element of the chain, the sensor, which can undergo various faults and defects during its lifetime. Especially for the use of acousto-ultrasonic (AU)-based methods or the electro-mechanical impedance (EMI) method, piezoelectric transducers are frequently used. Subsequent steps within the chain of SHM rely on the quality and reliability of these measurements. An overview is given on the usage of piezoelectric transducers within SHM systems, their electromechanical coupling and its modeling as well as frequent faults of these devices and methods on how to inspect them and diagnose defects. The authors show the effects of different transducer faults on the excited wave field, used for AU. It is shown how a sensor fault can be detected before the SHM system indicates a (false) alarm. With the help of application scenarios-including temperature variations-the advantages and disadvantages of the introduced methods of transducer inspection are presented, enabling an increased reliability of SHM systems.

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Section: Methods Of Transducer Inspectionmentioning

confidence: 99%

“…Using principal component analysis (PCA), they can be aggregated to a damage index DI model . For details, the reader is referred to [4,42].…”

Section: Model-based Methodsmentioning

confidence: 99%

Section: Transducer Inspection In the Context Of The Whole Shm Systemmentioning

confidence: 99%

Section: Detection Of Cracks In and Debonding Of Transducersmentioning

confidence: 99%

See 2 more Smart Citations

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Mueller¹,

Fritzen²

2018

Structural Health Monitoring From Sensing to Processing

Self Cite

View full text Add to dashboard Cite

show abstract

“…One of the more challenging aspects is the robustness of the methodology versus number of sensors adopted, which may also varying during the system lifetime. Sensors may fail due to the harsh condition that they have to withstand [50,51] and a self diagnosis approach should be integrated together with a health management strategy continuously pursuing the minimum target to achieve the prescribed POD. This means that the effect of missing sensors has to be addressed a priori to continuously predict the minimum detectable damage.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Damage Localization in Composite Structures Using a Guided Waves Based Multi-Parameter Approach

et al. 2018

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Aerospace vehicles are demanded to withstand harsh conditions with a low weight impact. Composites have been increasingly adopted to meet such performances but they are affected by sudden and barely visible failures when subjected to low velocity impacts. The design criteria and the maintenance tasks in a damage tolerant approach are unavoidably compromised. Structural Health Monitoring is expected to avoid typical accommodations employed during design and lifetime management by achieving a cost-effective and on condition maintenance. This paper describes the use of guided ultrasonic waves excited and sensed by permanently attached piezoelectric transducers for detection and localization of unforeseen and hidden flaws in composite structures. A composite stiffened structures designed for real scale components is investigated to test a multi-parameter detection technique capable of predicting different wave features affected by hidden failures to detect any possible change in the structure. Usually, propagation behavior is exploited to detect changes in the waveguide focusing on the analysis of an intrinsic feature of the propagating wave. Numerical simulations and measurements carried out on a real-scale aircraft structure demonstrate that increasing the observed characteristics improves the result making efficient the diagnosis. Furthermore, it is shown that accounting a multi-parameter analysis of ultrasonic data enhances the localization reliability making use of the same reconstruction algorithm with data fusion approach while facing with different kind of damages.

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Non‐destructive damage detection on welded threaded bolts based on electromechanical impedance spectra

Sahm¹,

Pak²,

Fritzen³

et al. 2021

ce papers

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Within a research project carried out at the Department of Civil Engineering and the Department of Mechanical Engineering of the University of Siegen, a new monitoring method for non‐destructive damage detection on bolts was developed and tested according to its applicability on real life structures. The so‐called EMI‐method is based on the measurement of electromechanical impedance spectra, which change with varying structural states and thus allow for a condition assessment. Structures vibrate in a combination of their natural modes, which can provide information about their structural condition. Their modal characteristics are system‐inherent quantities and are governed by geometry, system stiffnesses and mass allocation. If a system parameter changes, e.g. the bending stiffness of a bridge, this is reflected in the vibration analysis and the modal characteristics. To identify the modal characteristics of civil engineering structures, these are excited and the system response is measured. This principle is also used for damage detection by means of electro‐mechanical impedance spectra (EMI). The observed system‐inherent quantity is the frequency‐dependent mechanical impedance Zs(ω) of the structure. The method is based on the idea that the mechanical impedance of a structure or component to be measured changes as a result of damage (or loss of prestress in the case of bolts) and thus these changes can be detected. In the project, investigations were carried out on steel plates with orthogonally welded threaded bolts, which are used, for example, as fasteners for rail supporting points on bridges. Research objectives were on one hand the detection of the prestress stage and on the other hand the detection of fatigue damage in the weld seam. Within the scope of the project, it has been investigated to what extent a change of the prestressing load can be reliably detected by means of the EMI method. Furthermore, the influence of damage to the bolt on the impedance spectra was investigated.

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Inspection of Piezoceramic Transducers Used for Structural Health Monitoring

Cited by 40 publications

References 31 publications

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Damage Localization in Composite Structures Using a Guided Waves Based Multi-Parameter Approach

Non‐destructive damage detection on welded threaded bolts based on electromechanical impedance spectra

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