Production Test Research Articles

Maternal and Paternal Education on Italian Monolingual Toddlers’ Language Skills

Background. Language development in toddlers can be influenced by social interactions in environments and proximal contexts with mothers and fathers. We present the literature on mothers’ and fathers’ education level and socioeconomic status on the child’s language development; further evidence is needed in the Italian-speaking context. Aims. The study aims to confirm the role of mother and father education level on toddlers’ language skills assessed with direct and indirect measures. Methods and Procedures. Participants were 51 Italian-speaking children aged 33 to 41 months. Children were tested with a lexical test (PinG test) for comprehension and production of nouns and predicates and a morpho-syntactic test for grammar comprehension (PCGO). Parents of the children completed a demographic form and the Italian adaptation of the MacArthur-Bates CDI long version. Two series of one-way ANCOVAs were performed to study the role of mothers’ and fathers’ level of education on separate measures of their child’s language. Outcomes and Results. Findings suggest that in most families, mothers’ level of education is higher than fathers’ level of education. There was no significant difference between children of parents with low–middle level of education and children of parents with high level of education for the grammar comprehension tasks (PCGO) and indirect measure of vocabulary production (MacArthur-Bates CDI). However, both mothers’ and fathers’ level of education appears to be significant for the direct measurement of word production. Conclusions and Implications. This study provides new evidence for the role of mothers’ and fathers’ education on the development of word production in children aged 33 to 41 months, contributing to enriching the literature on the Italian context; it lays the groundwork for future research on the social and environmental factors that can affect language development.

The Effect of Steel Over Strength Ratio on Structure Behavior

Seismic design of steel building structures according to SNI 7860:2020 determining the necessary strength of structural members based on the expected yield stress, Ry.Fy, and the expected tensile stress, Rt.Fu. However, the values of Ry and Rt in SNI 7860:2020 are not yet based on the testing of steel products in Indonesia and are still based on the provisions in AISC 341-16. This research was conducted by collecting data on steel tensile test results to obtain the over-strength ratio and then modeling the steel frame building using the over-strength steel provisions of SNI 7860:2020 and based on the tensile test results to determine the difference in structural behavior. Based on the tensile test results, WF300 steel has a yield strength ratio (Ry) of 1.78, which is higher than the SNI specification of 1.5, and a tensile strength ratio (Rt) of 1.35, which is higher than the SNI specification of 1.2. Based on pushover analysis, the deviation value at the initial formation of the plastic hinge on Structure A1 (Ry=1.5) in the x-axis direction of 79.352 mm is smaller than Structure B1 (Ry=1.78) by 94.01 mm. This indicates that the plastic hinge of Structure A1 is formed earlier than Structure B1.

Unified Platform for Automated Tests of Inverter-Based Resources with Harware-in-the-loop

Testing of inverter-based resources (IBRs) faces challenges in establishing standardized procedures across all product development stages. Most of the testing approaches use Hardware-in-the-Loop (HIL) during the early stages independently from the final product testing, which can lead to discrepant results. To solve these issues, this paper proposes a unified platform for automatically testing IBRs. It can be used during all product development stages, from pure simulation to Controller Hardware-in-the-Loop (CHIL) and finally on the complete commercial product, ensuring uniform test procedures with different test setups. A case study describing compliance tests of grid-connection codes of photovoltaic (PV) inverters are presented to demonstrate the proposed approach. Experimental tests were performed in accordance to Brazilian grid-connection codes in an ISO/IEC 17025 accredited laboratory. The results obtained with the proposed platform in CHIL and full-hardware showed high similarity with the ones obtained with the accredited laboratory, validating the proposed approach. In addition, the platform can be used to perform tests not specified in standards and to verify the performance of IBRs in operating conditions that are often difficult to be tested in laboratory. Ensuring consistent test procedures, the platform facilitates comparable results along all the testing stages, reducing the product development cycle.

An Improved Nonnegative Matrix Factorization Algorithm Combined with K-Means for Audio Noise Reduction

Clustering algorithms have the characteristics of being simple and efficient and can complete calculations without a large number of datasets, making them suitable for application in noise reduction processing for audio module mass production testing. In order to solve the problems of the NMF algorithm easily getting stuck in local optimal solutions and difficult feature signal extraction, an improved NMF audio denoising algorithm combined with K-means initialization was designed. Firstly, the Euclidean distance formula of K-means has been improved to extract audio signal features from multiple dimensions. Combined with the initialization strategy of K-means decomposition, the initialization dictionary matrix of the NMF algorithm has been optimized to avoid getting stuck in local optimal solutions and effectively improve the robustness of the algorithm. Secondly, in the sparse coding part of the NMF algorithm, feature extraction expressions are added to solve the problem of noise residue and partial spectral signal loss in audio signals during the operation process. At the same time, the size of the coefficient matrix is limited to reduce operation time and improve the accuracy of feature extraction in high-precision audio signals. Then, comparative experiments were conducted using the NOIZEUS and NOISEX-92 datasets, as well as random noise audio signals. This algorithm improved the signal-to-noise ratio by 10–20 dB and reduced harmonic distortion by approximately −10 dB. Finally, a high-precision audio acquisition unit based on FPGA was designed, and practical applications have shown that it can effectively improve the signal-to-noise ratio of audio signals and reduce harmonic distortion.

HEV in Blood Donors in Switzerland: The Route to Safe Blood Products.

The hepatitis E virus (HEV) is an emerging infectious disease with zoonotic potential, causing acute hepatitis in humans. Infections in healthy individuals are often acute, self-limiting and asymptomatic, thus leading to the underdiagnosis of HEV infections. Asymptomatic HEV infections pose a problem for blood transfusion safety by increasing the risk for transfusion-transmitted HEV infections. Here, we describe the journey from determining the HEV seroprevalence among blood donors to the implementation of routine HEV RNA testing of all blood products in Switzerland in 2018 and summarise the HEV cases detected since. In total, 290 HEV-positive blood donations were detected by mini-pool nucleic acid testing (NAT) in Switzerland in the period of October 2018-December 2023, equal to an incidence of 20.7 per 100,000 donations. Thanks to the implemented scheme, no transfusion-transmitted infections occurred in this period. Furthermore, blood donation monitoring has proven to be an effective means of detecting HEV outbreaks in the general population. HEV cases in Swiss blood donors are caused by two major genotypes, the Swiss-endemic subtypes 3h3 and 3c. Interestingly, 11 HEV cases (5%) were of genotype 3ra, a variant found in wild and farmed rabbits. Our results indicate that mini-pool NAT is an efficient method to reduce the risk of transfusion-transmitted HEV infections.

Investigations on the effect of kaolin catalyst on the yield of various products obtained from pyrolysis of low-density polyethylene (LDPE) wastes and reaction kinetics.

The pyrolysis characteristics of low-density polyethylene (LDPE) wastes were investigated in a batch pyrolyzer in the temperature range of 550-650°C for a varying heating rate (5, 10, 15, 20, and 25°C/min) alone and using kaolin catalyst (10, 15, and 20% w/w). The yield distribution of various products under varying operating conditions was investigated, and the corresponding favourable conditions for maximum yield of pyrolytic oil (PO) were identified. The possible effect of the catalyst on pyrolysis kinetics was explored by extracting activation energies from the TGA experiments. The various model-free iso-conversion methods estimated the activation energy of 162-166kJ/mol during thermal degradation of LDPE, while it shifted to a lower range (138-145kJ/mol) on catalytic treatment. The catalytic pyrolysis with a 20% (by mass) catalyst in a batch pyrolyzer provided the maximum PO yield with the least solid residue at 600°C using a heating rate of 20°C/min, while the temperature of 600°C with 10% catalyst showed the least liquid product with more solid residue. The presence of a catalyst improved the oil quality with transparency and lower viscosity due to lighter hydrocarbons and higher aromatic content. The FTIR analysis detected various organic groups-alkanes, alkenes, cyclic, and aromatics in the oil. GC tests of gaseous products confirmed the gases like hydrogen, propane, butane, and propylene. The present study aims to provide technical know-how for the effective utilization of LDPE wastes towards clean energy sources and create a plastic-free green environment.

Turkish EFL learners’ knowledge, perception, and production of suprafixes as part of lexical competence

Vocabulary and grammar are essential to language proficiency (Richards, 2015). Some word families and grammatical categories can only be distinguished by prosodic properties such as suprafixes. In English, specific noun/adjective-verb pairs, sometimes called disyllabic words, receive primary stress on different syllables. Typically, nouns receive trochaic stress, while verbs receive iambic stress. Research shows that suprafixes are difficult for language learners from diverse linguistic and prosodic backgrounds. Given the scarcity of research in specific contexts (e.g., Turkish EFL), this study explored Turkish EFL learners’ suprafixational knowledge, perception, and production. Participants were B1-level preparatory school students of a prominent state university. Data were collected through a test of knowledge (n=110), a test of perception (n=80), and a test of production (n=50). Results showed poor knowledge, perception, and production of suprafixes among Turkish EFL learners. Minor variations in suprafixational competence were observed in males and females. Additionally, different noun-verb pairs posed a challenge for both genders. The results were discussed, and recommendations for future research were made. The study concludes that Turkish EFL learners must receive suprasegmental training focusing on suprafixes.

Assessing the Opportunities and Risks of DUS and VCU Variety Testing for Sustainable Production through SWOT Analysis Results

Within the European Union (EU), new plant varieties to be included in the Common catalog of a member state have to be registered on the national list after plant variety testing processes to establish whether the candidate variety is distinguishable, uniform, and stable (DUS) and meets the cultivation or use value requirement (VCU). Technical development, climate change, and changing consumer needs, including the detection of GMOs, necessitate the innovation of plant variety testing methods. In our study, we assessed new characters, testing methods, and inclusion of additional data for the potential to benefit the DUS and VCU protocols. To achieve our goal, we asked experts to fill in questionnaires for the DUS and VCU methods currently used for a selection of common crops, including potato, maize, lentil, oilseed rape, and perennial grass. Within the EU-funded “InnoVar” project, partners sent out questionnaires to 19 European Countries and to 3 countries outside Europe. Surveys were aimed at analyzing the strengths, weaknesses, opportunities, and threats (SWOT) of the current methods. With their help, it is possible to look for a new direction, opportunity, and strategy to incorporate, together with the innovative new techniques, into the development of the new methods. Our study demonstrated that the SWOT analysis could be used to achieve the set goals. Results obtained after evaluation of surveys confirmed that introduction of new characters such as cold tolerance, nitrogen and water efficiency, etc. has become necessary, as has the inclusion of new test methods (molecular markers, precision techniques, organic farming). The development of high-yielding, disease and/or pest-resistant plant varieties with good adaptability and the accurate evaluation of genotypes play a crucial role in ensuring that farmers can access high-performing plant varieties and contribute to sustainable food production.

Digital Quantification and Ultrasensitive Detection of Single Influenza Virus Using Microgel-in-Droplet Enzyme-Linked Immunosorbent Assay.

Detection and quantification of viral particles (VPs) facilitate both diagnostics of pathogenic viruses and quality control testing of virus-based products. However, existing technologies fail to afford concurrent ultrasensitive detection and large-scale absolute quantification of VPs. Here, we propose a digital Microgel-in-Droplet enzyme-linked immunosorbent assay (ELISA) system that enables the processing and monitoring of millions of ELISA reactions at the single-VP level by incorporating droplet microfluidics with sandwich ELISA. Upon validating the microfluidic workflow and optimizing ELISA parameters, we demonstrate ultrasensitive VP detection at a limit of detection of 56 PFU/test. Leveraging a fluorescence-based screening platform, we further realize high-throughput digital counting of VPs with a linear detection range of 500-64 000 PFU/test. The precision is comparable to that of the gold standard, the plaque assay, across a wide range of virus concentrations. We anticipate that our system will provide a novel paradigm for the absolute enumeration of various types of viral particles.

Beyond traditional consumer research - current adoption and next steps for neuromarketing

<b>Purpose</b>. Neuroscience used for conducting market research is called Neuromarketing. Though the effectiveness of Neuromarketing over traditional research has been proven, its adoption is very limited. The automotive sector is one of the biggest industries worldwide and due to lack of detailed research on the adoption of Neuromarketing in the Automotive space, authors have tried to bridge this gap. They have identified the current adoption of Neuromarketing and have suggested solutions to overcome barriers. This research will help Automotive brands, market research companies and Neuro experts to come up with relevant solutions to increase the usage of Neuromarketing <b>Design.</b> The authors first reviewed any available literature related to the Automotive landscape. Then, in-depth discussions with Automotive players were conducted in order to clarify the Neuromarketing adoption in the current scenario. Finally, Neuro experts, viz. neuroscientists and research companies, were consulted for possible future solutions <b>Findings</b>. Literature reviews and discussions with Automotive companies revealed that Neuromarketing adoption is limited as compared to traditional market research methods. Though the majority are aware of Neuromarketing, limited companies have used it. It is mostly undertaken in advertisement and product testing, primarily using EEG and Eye tracking. Neuromarketing is perceived as being expensive and difficult to understand and having ethical concerns. It is also believed that Neuromarketing does not answer the ‘why’ behind the participants’ responses. The paper also validated Simon’s Bounded Rationality Theory where automotive organizations used conformity instead of maximum value in adoption of neuromarketing. Expert discussions clarified that most of the Neuromarketing limitations like ethics, cost, lower sample, lab setup, etc. mentioned by Automotive players can be overcome. Hence the next step is to take this science to maximum automotive players and make them aware of the development, conduct pilot studies, remove their inhibitions about Neuromarketing and complement it with traditional research methods.

Forced vibrations of the shaft line based on the model of a two-stage rod with an elastic connection of sections

The paper considers a method for solving the problem of dynamics of forced vibrations of a wall line based on a model of an equivalent elastic two-stage rod with a pliable connection of sections. The model is represented by a system of partial differential equations. The solution of the equations is obtained by the Fourier method for eigenfunctions orthogonal with weight. It is established that the presence of an elastic element at the junction of the sections does not affect the orthogonality of the eigenfunctions. The influence of the elastic coupling compliance coefficient on the natural frequency spectrum of the shaft line is estimated. The obtained forms of natural vibrations of an equivalent elastic two-stage rod are consistent in appearance with the corresponding forms known in the literature for a discrete model of a similar torsional circuit. A partial solution of the equations is found for the case of the action of the harmonic load on the engine and the averaged torque on the propeller. As an example, the dynamics of forced vibrations of the shaft line of a barge of the Sosnovka type is studied. The results of calculating the natural frequencies of the considered model are compared with the classical discrete mass method. The analysis of the obtained plots of the twisting angles and torques showed that the angles are satisfactorily approximated by the first proper oscillation shape, and for moments, high shapes must be taken into account. The comparison of the simulation results with the data of the torsiogram obtained under production testing conditions indicates the need for further development of the model. Further improvement of the torsional circuit, as well as a more detailed study of the nature of the operating loads, are considered as promising areas of research.

Proteomic Analysis and Biochemical Characterization of the Nematocyst Extract of the Hydrozoan Velella velella.

The venom contained within cnidarian nematocysts has a complex composition and holds significant potential for biotechnological applications. In this context, one of the most effective methods for studying nematocyst contents is the proteomic approach, which can detect even trace amounts of compounds while minimizing the need for large-scale animal collection, thus helping to preserve ecosystem integrity. This study aimed to provide a comprehensive proteomic and biochemical characterization of the crude nematocyst extract from the common hydrozoan Velella velella. Despite not being harmful to humans, the analysis of the crude venom extract from V. velella brought to the identification of 783 different proteins, categorized into structural components, enzymes, and potential toxins, revealing a qualitative composition of the venom similar to that of other more toxic cnidarians. Biochemical assays confirmed the presence of various active hydrolytic enzymes within the extract, including proteases, phospholipases, hyaluronidases, DNases, and chitinases. These findings pave the road for future studies involving the pharmacological applications of Velella velella venom components through recombinant production and functional testing.

Yield, varietal zoning of spring barley in Tyumen region and assessment of ecological plasticity and stability of its varieties

The purpose of the study is to assess the yield of spring barley in the production and state variety testing of the Tyumen region for 2017-2022, its varietal zoning, as well as the yield and adaptability of varieties for 2021-2023 in the conditions of the subtaiga. There was a significant excess of yield in state variety testing compared to production, which averaged 15.0 c/ha in 2017-2022. The originators of most of the varieties approved for use are the Federal Research Centers of the Urals and Western Siberia. The variety Kudesnik (44.8 c/ha) was the best in terms of average yield, and Chelyabinsky 99 (69.2%) – in terms of the realization of its potential. Stress resistance is low in all varieties, which ranged from -31.2 (Orda) to -49.0 (Nord 18/2613). All varieties had significant yield variability, ranging from 42.7% (Orda) to 69.4% (Nord 18/2613). Strong responsiveness to changes in conditions was detected in the varieties KVS Jessy (bi = 1.10) and Nord 18/2613 (bi = 1.34), which are classified as intensive. The varieties Acha, Despina, Kudesnik, Divny and Abba, with a regression coefficient equal to or close to one, were characterized as plastic, and the varieties Orda, Chelyabinsky 99 and Abalak were poorly responsive to changes in conditions (bi < 1). Yield stability is low in all varieties, from St2 = 0.52 (Nord 18/2613) to St2 = 0.82 (Abalak, Orda). The variety Kudesnik (Ei..=4.8) was characterized the greatest indicator of the genotypic effect, and the variety Abalak (143.5%) – the indicator of the yield and stability of the variety. The varieties Abalak (sum of ranks 32) and Kudesnik (sum of ranks 35) were recognized as the best by the sum of the ranks of the indicators of yield and adaptability of spring barley for 2021-2023 in the subtype of the Tyumen region.

Designing an innovative learning model for fundamental throwing and catching skills using the teaching games for understanding (tgfu) approach in elementary education

This research focuses on enhancing elementary school students' fundamental throwing and catching skills through an engaging and effective learning model grounded in the Teaching Games for Understanding (TGFU) approach. Traditional physical education methods often fail to engage students, particularly those with underdeveloped motor skills, resulting in lower participation in physical activities. This study aimed to design and validate a TGFU-based learning model specifically for fifth graders, following Borg and Gall's development process, which includes iterative testing and refinement stages. Instruments used to measure throwing and catching skills included performance assessments and observational checklists. The study involved three stages: initial testing with 20 students, main product testing with 100 students, and effectiveness testing with 36 students. Content validation reached 91%, and media expert validation was 85%, with practicality and student engagement questionnaires scoring 92.5% and 95%, respectively, in small-scale trials, and media interest reaching 96% in large-scale trials. Data normality and homogeneity were confirmed through normality (p > 0.05) and homogeneity tests (p > 0.05), indicating that the data were normally distributed and homogeneous. The paired t-test results (sig. 0.000) demonstrated a significant improvement in students' throwing and catching skills, confirming the effectiveness of the developed learning model. These findings validate the TGFU-based approach as a superior method for engaging students and enhancing their motor skills in physical education. Keywords: Physical Activity, The Teaching Games for Understanding, Learning Model, Basic Movements, Throwing, Catching.

Hybrid paper/PDMS microfluidic device integrated with RNA extraction and recombinase polymerase amplification for detection of norovirus in foods.

HuNoV belongs to the family of Caliciviridae and is a leading cause of acute gastroenteritis that can be transmitted through contaminated foods. HuNoV causes around one out of five cases of acute gastroenteritis that lead to diarrhea and vomiting, placing a substantial burden on the healthcare system worldwide. HuNoV outbreaks can occur when food is contaminated at the source (e.g., wild mussels exposed to polluted water), on farms (e.g., during crop cultivation, harvesting, or livestock handling), during packaging, or at catered events. The research outcomes of this study expand the approaches of HuNoV testing, adding value to the framework for routine testing of food products. This microfluidic device can facilitate the monitoring of HuNoV outbreaks, reduce the economic loss of the agri-food industry, and enhance food safety.

Thermal testing of corundum ceramics: pulse heating and optimized data processing algorithms

A review of the types of defects in the production of corundum ceramic tiles and traditional methods of integrity testing of products made of this material is carried out. The integrity of tiles containing artificial defects was investigated by the method of active thermal testing using pulsed optical heating. A scheme of two-way thermal testing with software processing of the initial thermograms using the Parker method is applied. It has been established that the best results in detecting internal defects in ceramic tiles with a thickness of 10 mm during thermal stimulation using xenon lamps are obtained by the method of two-way thermal testing with the construction of thermal conductivity maps.

Investigation on Wax Deposition Risk in Shale Oil Well During Production Test

Abstract During production test of the shale oil well, the low temperature environment in the wellbore is likely to cause wax precipitation of shale oil, and in turn disrupt the normal production test, increase the operating costs and risks. In view of this problem, by considering the gas-liquid flow, radial heat transfer and temperature gradient etc, a temperature and pressure field model of shale oil wellbore was established, and a prediction method of wax deposition zone in the shale oil wellbore during production test was proposed. Furthermore, by using the production data of a shale oil well with wax deposition in the South China Sea during production test, the accuracy of the model in calculating the fluid temperature and pressure of the wellbore with wax deposition was verified. The wellhead temperatures calculated by the model had a maximum error of 9.31%, and the bottom-hole pressures calculated by the model had a maximum error of 7.52%, indicating the model has high calculation accuracy. The model was used to analyze the sensitivities of wax deposition to the time and rate of production, water content and the ratio of gas to oil. It is found that the wax deposited in wellbore increases in thickness with the production time, is more strongly affected by production rate and water content, but less affected by the ratio of gas to oil. The research results can provide support for preventing wax deposition during production test of shale oil wells.

Bridged Ethylene Polyethylene Oxide Surfaces to Improve Packing Materials for Widepore Size Exclusion Chromatography.

Here, we describe the preparation of bridged ethylene polyethylene oxide (BE-PEO) surface-modified silica packing materials for size exclusion chromatography. BE-PEO surface-modified silica was hydrolyzed and subsequent 1H nuclear magnetic resonance analysis of hydrolysis products confirmed the successful formation of BE-PEO bonded surface. Silica particles exhibiting 3µm diameters and 1000 Å nominal pore diameters were selected as a base material for this work out of the critical need to improve analytical capabilities for the testing of cell and gene therapy drug products. Accelerated high pH aging study revealed significant enhancement in column stability. Multi-angle light scattering noise measurements showed inordinately lower baseline noise. Moreover, we evaluated the chromatographic performance of BE-PEO silica-packed columns through separations of a protein test mixture, DNA ladder, monoclonal antibody-based therapeutics, and adeno-associated viruses. BE-PEO silica columns demonstrated high resolution, high recovery separations that were confirmed to be reproducible and capable of extended column lifetimes and exhibited low ionic and hydrophobic secondary interactions. In summary, BE-PEO silica particles have yielded a new level of performance, improved base stability, and inherently lower baseline noise. These novel widepore particles will facilitate more sensitive size-based detection and characterization of large biologics in the form of advanced gene therapy products.

Informal language contact and formulaic language development of Chinese students abroad during a global crisis

Abstract This longitudinal mixed-methods study tracked the informal language contact and phrasal verb knowledge of 21 Chinese foundation program students in the United Kingdom (UK) during the 2019–2020 academic year through three rounds of data collection. Because of the disruption due to the COVID-19 pandemic, the study was able to capture the impact of a global crisis on the experiences of international students studying abroad and learning a second language (L2). Data from a Language Contact Questionnaire, a Study Abroad Social Network Survey, and semi-structured interviews indicated significant changes in their L2 use and social networks. Our findings showed that the students sharply reduced their L2 contact and increased their use of first language (L1) during the pandemic. Productive and receptive tests assessing phrasal verb knowledge revealed that the students did not make significant gains after the pandemic lockdown. The study suggests that significant changes in the living environment can directly impact students’ L2 usage and their formulaic language development.

Mechanical Robustness Analysis of Semiconductors with a Single Needle Probe Card Using Acoustic Emissions

The combination of indentation testing and acoustic emission (AE) is widely used to analyze the fracture toughness of test substrates. In the manufacturing of semiconductor devices this material parameter also plays an important role. During the so-called wafer testing inside a wafer prober small probe tips are pressed onto the chip surface to check its performance. To prevent damaging the chip by that, the fracture toughness and load limit of it has to be defined in a prequalification step. This paper presents a test system that imitates the wafer testing process as close as possible and uses acoustic emission to detect appearing cracks and thereby also the load limit. The frontend of the test setup consists of a modular single needle probe card which can be placed in a wafer prober. Also, the indenter properties (tip diameter, stiffness, etc.) can be adjusted to the probe used later on during productive wafer testing to ensure realistic probing conditions. A piezoelectric sensor and a full strain gauge Wheatstone bridge are implemented close to the single indenter to measure the AEs and the applied contact force respectively. The signal-to-noise-ratios (SNRs) of both sensors are improved with an own analog amplifier module before recording them with an USB oscilloscope. A developed measurement software (LabVIEW) is used to adjust measurement parameters (trigger limit, record length, conversion factors, etc.) and automatically store and separate measurement data from different acoustic events and imprints. To evaluate the result files a second software tool (MATLAB) reads the files out and clusters the recorded events to separate crack signals from electrical and mechanical disturbances. With a prototype first test results are generated and the functionality and accuracy of the measurement concept is proven.