Air-coupled ultrasonic non-destructive testing (NDT) enables the inspection of composite materials for defects. In this paper, we investigate non-contact defect detection based on Lamb waves by using two dedicated air...
Air-coupled ultrasonic non-destructive testing (NDT) enables the inspection of composite materials for defects. In this paper, we investigate non-contact defect detection based on Lamb waves by using two dedicated air-coupled ultrasonic phased arrays, i.e. one for transmission and one for reception. The major challenge is the signal detection of the reflected leaky Lamb wave originating from the defect, despite a strong interfering signal, i.e. the direct air-path wave, causing a so-called blind zone. Therefore, we exploit the angular difference of the reflected leaky Lamb wave and the direct air-path wave by applying high-resolution direction of arrival $(\text{DoA})$ estimation algorithms, i.e. MVDR beamformer (Capon) and MUSIC algorithms, as well as image deconvolution methods, i.e. CLEAN and Richardson-Lucy algorithms. First, we assess the signal detection capability by using Monte Carlo simulations considering realistic non-ideal array elements. Second, we validate the simulations by conducting testbed measurements, which show that conventional beamforming (CBF), MVDR and MUSIC are capable of fully air-coupled defect detection, even when the direct air-path wave is impinging. We conclude that the blind zone can be eliminated and show that the MUSIC algorithm excels in highlighting the reflected leaky Lamb wave.
In the ever-growing industrial landscape, the early detection of failures in machines with high accuracy becomes more and more crucial and essential to safe and dependable operations. Based on this concept, a machine ...
In the ever-growing industrial landscape, the early detection of failures in machines with high accuracy becomes more and more crucial and essential to safe and dependable operations. Based on this concept, a machine learning algorithm is investigated for early detection of failure for conveyor chain systems. The proposed approach is based on the integration of wireless sensor nodes in the conveyor chain to measure the vibrations. The collected data has been acquired in different working conditions including slight imbalances as well as early failure scenarios that do affect the plastic chain. The data was collected using a conveyor chain with a length of 2 meters and with programmable speed and movement scenarios. Furthermore, different loads and forces have been considered during the data collection to mimic real applications in the lab. The selection of features to avoid correlation between them is considered. After comparison between different machine learning algorithms, the C-SVM algorithm is selected with an accuracy of 96.5%, which guarantees high precision and selectivity to the failures.
In this work we present a system for remote emission sensing (RES), focusing on a system for optical gas imaging, to enable direct concentration measurements by a Tunable Diode Laser Absorption Spectroscopy (TDLAS) te...
In this work we present a system for remote emission sensing (RES), focusing on a system for optical gas imaging, to enable direct concentration measurements by a Tunable Diode Laser Absorption Spectroscopy (TDLAS) technique. The technique is basing on background oriented schlieren imaging to give a robust information of the exhaust plume size, thus the absorption length of the laser. We present the description of the system, our approach of AI-based image processing and verification results. The gas imaging system was tested on-road and characterized in lab with controlled gas mixtures. First results from lab characterization and on-road measurements prove the feasibility of the approach, i.e. exhaust plumes of passing cars are reliably detected and the sizes of plumes are then calculated appropriately.
The article describes the possibilities of calibrating the force constant in an electromagnetic force compensation (EMFC) load cell using the electrostatic force compensation principle. The static and dynamic principl...
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Metal-organic framework (MOFs) materials have the potential to be used in electrochemical sensors thanks to their porous nature, high surface area, and periodic lattice structures. However, the insulating nature of pr...
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ISBN:
(数字)9798331507626
ISBN:
(纸本)9798331507633
Metal-organic framework (MOFs) materials have the potential to be used in electrochemical sensors thanks to their porous nature, high surface area, and periodic lattice structures. However, the insulating nature of pristine MOFs is one of the drawbacks that limit their applicability in electrochemical sensors. Several works have proposed their integration with carbon nanomaterials to enhance the conductivity. On the other hand, Laser-induced graphene (LIG) is a one-step method to fabricate conductive graphene-based electrodes on flexible substrates such as Kapton. In this regard, this research proposes a novel methodology to fabricate surface-mounted MOFs (SURMOF) and LIG-based composite electrodes on Kapton. The Kapton sheet is modified with HKUST-1 MOF by alternative immersions in precursor solutions to achieve layer-by-layer (LbL) deposition and growth. Hence, Kapton is pre-treated with plasma to enhance the hydrophilicity by introducing oxygen functional groups on the surface which was confirmed with contact angle measurements. Different precursor materials were investigated for the LBL growth of HKUST-1. The obtained SURMOF on Kapton was characterized by spectroscopic methods. Finally, UV laser interaction with HKUST-1-modified Kapton led to the formation of LIG. The electrochemical performance of LIG on modified Kapton was compared with bare LIG. The proposed methodology is promising to realize flexible, easy-to-fabricate LIG-MOF'S electrodes for electrochemical sensors.
Eddy current displacement sensors (ECDS) are essential for accurate position measurement in heavy industries. For instance, in steel plants, position sensor systems often need to measure large displacements and withst...
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ISBN:
(数字)9798350363517
ISBN:
(纸本)9798350363524
Eddy current displacement sensors (ECDS) are essential for accurate position measurement in heavy industries. For instance, in steel plants, position sensor systems often need to measure large displacements and withstand high temperatures, dirt, and dust exposure. Various protective measures, such as metal shields or chain curtains, create a restricted environment for such sensors and cause interference. Shielding techniques must be used to reduce this interference. However, due to spatial restrictions, established shielding techniques cannot always be applied. This study presents a design approach for a single-coil ECDS that reduces the effects of metal objects on the measurement signal by using a single backside shield. The accuracy of the proposed measurement system is improved by integrating shielding measures and selecting a suitable measurement frequency. This improvement is demonstrated through the lab measurements. The measures provide a basis for reliable position measurement with ECDS in harsh environments.
Flexible and environment friendly piezoelectric nanogenerators are attracting substantial attention due to environmental constraints and ecological considerations of energy harvesting. In this paper, self-poled and bi...
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The calculation of signal derivatives is a sensitive operation in digital signal processing. This is due to the high pass nature of the derivative operation and the subsequent noise amplification. Bandlimited differen...
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ISBN:
(数字)9798350380903
ISBN:
(纸本)9798350380910
The calculation of signal derivatives is a sensitive operation in digital signal processing. This is due to the high pass nature of the derivative operation and the subsequent noise amplification. Bandlimited differentiator designs based on FIR approximations are therefore commonly used. Another prominent technique is Savitzky-Golay-filtering to design FIR differentiators. However, all of these techniques introduce a temporal shift by the (constant) group delay of the odd FIR filters. In this work we present a FIR differentiator design for band-pass signals based on a Wiener filter approach. Therefore, the differentiation task is treated as a signal estimation problem, which leads to a delay free FIR differentiator. The design specifications for the filter, e.g. the bandwidth, are formulated in the frequency range. The properties and performance of the approach are presented by means of comparative simulation studies.
The shift in drive concepts from internal combustion engines to electrified vehicles is changing the demands on drive machines and their associated subsystems. A well-known phenomenon in oil-lubricated transmissions i...
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The road temperature is used as an indicator for the winter maintenance service. Consequently, it should be determinated within a known measurement uncertainty. Investigations in road weather stations revealed inconsi...
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