Measurement最新文献

{"title":"Guided wave multi-frequency damage imaging method of aero-engine blades","authors":"Zhiyuan Zhang,&nbsp;Yanqi Wang,&nbsp;Chaolong Xue,&nbsp;Xunjie Lv,&nbsp;Bing Li","doi":"10.1016/j.measurement.2024.116080","DOIUrl":"10.1016/j.measurement.2024.116080","url":null,"abstract":"<div><div>The intricate structural characteristics and anisotropic material properties of aero-engine blades pose challenges to accurate damage detection of guided waves. This research introduces a multi-frequency damage imaging method for blades. By accounting for the curved propagation path resulting from thickness variations, this method enhances the precision of damage localization. The material anisotropy contributes to frequency-dependent velocity anisotropy. Damage locus identified through echo times at different frequencies converges solely at the damage site, reducing the sensor count required in the detection system. Experimental validation of curved propagation path and frequency-dependent velocity anisotropy in a blade is conducted. Damage localization within the blade is successfully achieved with only two sensors. The imaging results of the multi-frequency imaging method, exhibit the capability to diminish sensor requirements while enhancing imaging accuracy. This method holds promise for real-time monitoring of composite materials with variable thickness.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116080"},"PeriodicalIF":5.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct motor rotor pyrometry using mid-infrared hollow waveguide","authors":"Woohyuk Sim ,&nbsp;Chanyoung Kim ,&nbsp;Young-Doo Yoon ,&nbsp;Tonghun Lee ,&nbsp;Jihyung Yoo","doi":"10.1016/j.measurement.2024.116081","DOIUrl":"10.1016/j.measurement.2024.116081","url":null,"abstract":"<div><div>A remote pyrometry method was applied to an interior permanent magnet synchronous motor (IPMSM) for a direct measurement of its rotor component temperatures. An accurate means of permanent magnet (PM) thermometry is a critical factor in an IPMSM design and operation since excessive heat can lead to irreversible performance degradation of the motor. A hollow waveguide (HWG) mounted inside the motor housing, just above the rotor end surface, collected mid-infrared surface emissions from exposed PMs and rotor core sections during rotation. The signal was then analyzed to resolve temperatures across small rotation angles along the trajectory traced out by the HWG. The sensor was calibrated in laboratory conditions and demonstrated on an actual motor under various operating conditions. The sensor enabled direct temperature measurements to within <span><math><mrow><mo>±</mo><mn>3</mn><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span> uncertainty near room temperature with <span><math><mrow><mo>±</mo><msup><mrow><mn>1</mn></mrow><mrow><mo>∘</mo></mrow></msup></mrow></math></span> angular resolution at 4500 RPM. The uncertainty decreased to less than <span><math><mrow><mo>±</mo><mn>1</mn><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span> above 100 °C.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116081"},"PeriodicalIF":5.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and analysis of a high-sensitivity FBG accelerometer with a flexural bearing","authors":"Yun Wang,&nbsp;Yutang Dai,&nbsp;Minghui Lu,&nbsp;Jianguan Tang,&nbsp;Minghong Yang","doi":"10.1016/j.measurement.2024.116093","DOIUrl":"10.1016/j.measurement.2024.116093","url":null,"abstract":"<div><div>To address the increasing demand for high-precision measurement and miniaturization in FBG accelerometers, this paper proposes a high-sensitivity FBG accelerometer based on a flexural bearing. The spiral-shaped through-grooves of the flexural bearing significantly enhance the sensitivity of the diaphragm-type FBG accelerometer while inheriting its simple structure and compact size. Initially, the theoretical model of the accelerometer was derived. Subsequently, a set of optimized dimensions for the accelerometer was selected and investigated using the finite element method. Finally, the measurement performance of the accelerometer was verified through a series of calibration tests. The results showed that the accelerometer achieved a sensitivity of 379.8 pm/g (at 20 Hz) and a resonant frequency of around 230 Hz, with a cross-axis sensitivity of less than 7.3 % of the main axis. Leveraging the advantages of a compact structure, small volume, and, this novel accelerometer holds promise for expanding the application of fiber optic accelerometers.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116093"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust ELM-PID tracing control on autonomous mobile robot via transformer-based pavement crack segmentation","authors":"Jianqi Zhang ,&nbsp;Xu Yang ,&nbsp;Wei Wang ,&nbsp;Ioannis Brilakis ,&nbsp;Diana Davletshina ,&nbsp;Hainian Wang","doi":"10.1016/j.measurement.2024.116045","DOIUrl":"10.1016/j.measurement.2024.116045","url":null,"abstract":"<div><div>Pavement crack tracing is paramount to missions encompassing automated crack sealing for road maintenance. However, existing methods still face several challenges, including the incapability to precisely extract crack trajectories and the challenge of tuning control parameters within intricate backgrounds. To address these limitations, the ViT-S2T network and the ELM-PID control system are proposed for crack tracing. Specifically, the ViT-S2T consists of two branches. The transformer-based feature extraction module (TFEM) integrates multi-head attention mechanism and multi-layer perceptron to capture global contextual crack semantic features. The incoherent segmentation masks (ISM) employs a binary classifier to predict the coarsest irrelevant mask and further performs up-sampling fusion of higher-resolution features. Moreover, the Neural-PID control method is designed to track crack trajectories, combining Extreme Learning Machines (ELM) and Proportional Integral Derivative (PID). The ELM-PID controller utilizes a three-layer backpropagation neural network and proposes the ELM model for adaptive adjustment by predicting the tuning parameters of PID. This framework is applied to real-time visual tracing for edge AI. Extensive tests performed on three arduous datasets of DeepCrack, CFD, and S2TCrack, achieving a precision of 82.76% and [email protected] of 75.63% and speed of 0.0513 m/s, demonstrating the superior and robust nature of our approach in pavement crack tracing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116045"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Piezoelectric energy harvesting interface circuit for small area and low power consumption— A review","authors":"Huijing Yang ,&nbsp;Minghao Huang ,&nbsp;Mingyuan Ren ,&nbsp;Xiangyu Li","doi":"10.1016/j.measurement.2024.116051","DOIUrl":"10.1016/j.measurement.2024.116051","url":null,"abstract":"<div><div>With the ongoing progression and extensive deployment of wireless sensor network (WSN) technology, WSNs have proliferated across various critical domains, including environmental monitoring, aerospace applications, and biomedical fields. Nonetheless, as WSNs transition towards miniaturization and enhanced efficiency, power supply challenges have become increasingly pronounced. The reduction in power supply volume and the limitations of battery energy density hinder conventional batteries from fulfilling the long-term operational demands of WSNs. In this context, piezoelectric energy harvesting technology has garnered significant attention as a viable alternative to traditional batteries, owing to its distinct advantages. Piezoelectric energy harvesters possess the capability to transduce ambient mechanical energy into electrical energy, thereby facilitating a continuous energy supply for WSNs. However, the critical factor for the widespread implementation of this technology is the advancement of interface circuits characterized by compact form factor, minimal power consumption, high efficiency, and stability. The objective of this paper is to evaluate the current research advancements in compact, low-power piezoelectric energy harvesting interface circuits and to examine their prospective developmental trajectories. By analyzing the design principles and performance attributes of various interface circuits, this paper seeks to offer valuable references and insights for the continued evolution of piezoelectric energy harvesting technology. Building upon a review of the current research landscape, this paper also delineates several prospective avenues for future inquiry into piezoelectric energy harvesting interface circuits. These avenues encompass enhancing energy conversion efficiency, optimizing circuit architecture to minimize power consumption, and improving the stability and reliability of the circuits. Through an in-depth exploration of these trajectories, the aim is to cultivate more advanced and practical piezoelectric energy harvesting interface circuits, thereby ensuring robust energy support for the long-term sustainability of WSNs.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116051"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning coupled Bayesian inference method for measuring the elastoplastic properties of SS400 steel welds by nanoindentation experiment","authors":"Mingzhi Wang ,&nbsp;Guitao Zhang ,&nbsp;Bingyu Hou ,&nbsp;Weidong Wang","doi":"10.1016/j.measurement.2024.116092","DOIUrl":"10.1016/j.measurement.2024.116092","url":null,"abstract":"<div><div>Nanoindentation experiment has shown broad application prospects due to its ability to measure the mechanical properties of various materials at multiple scales. In this paper, a deep learning coupled Bayesian inverse approach is proposed for measuring the elastoplastic parameters of SS400 steel welds by nanoindentation experiment. The nanoindentation experiments were performed on the SS400 steel welds, including base metal (BM), weld zone (WZ), and heat affected zone (HAZ), and the experiment load–displacement (<em>P-h</em>) curves were obtained. The hyper-parameters tunable artificial neural network (ANN) was established to correlate elastoplastic parameters with indentation <em>P-h</em> curves. Based on Bayesian inference theory, the posterior density function for estimating the unknown material parameters was established. Transitional Markov chain Monte Carlo was used for sampling from the posterior density function, and the elastoplastic properties in different regions of SS400 steel welds were identified. The advantage of the established measuring method is that the hyper-parameters optimized ANN model can provide the very accurate forward relationship between material properties and indentation <em>P-h</em> curves. Besides, the inverse Bayesian framework can quantify the potential uncertainty of the identified elastoplastic parameters. The measured elastoplastic properties of the base metal of SS400 steel show good agreement with tensile experiment data, of which the maximum measuring error is less than 12%. The measured elastoplastic properties in WZ and HAZ are also proved to be effective. The uncertainty of the identified elastoplastic parameters of SS400 steel welds can be quantified by posterior marginal distribution, using Mean and Variance values. The results proved that the proposed inverse measuring method is reliable and effective.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116092"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of background noise on autocollimator measurement precision and method for uncertainty source elimination","authors":"Renpu Li ,&nbsp;Zhaoyang Wang ,&nbsp;Junsen Yuan ,&nbsp;Jiwen Cui ,&nbsp;Andrei Kulikov ,&nbsp;Igor Konyakhin ,&nbsp;Yongrui Guo ,&nbsp;Yujia Huo ,&nbsp;Dandan Wen ,&nbsp;Ke Di","doi":"10.1016/j.measurement.2024.116036","DOIUrl":"10.1016/j.measurement.2024.116036","url":null,"abstract":"<div><div>Reflection phenomenon of internal optical structure surface of the autocollimator will cause background noise to interfere with its imaging and localization results, thus reducing the measurement precision. The non-working surface reflection of the beam splitter is the main factor causing this uncertainty source. Using a polarized beam splitter cube to replace the original beam splitter and combining with other polarization devices can effectively suppress the influence of this uncertainty source on the goniometric accuracy of the autocollimator. In this paper, through the comparison experiment with the benchmark instrument, it is found that after eliminating the noise, the measurement accuracy along the X and Y axes is improved from less than 5.26″ to better than 2.69″, the resolution is improved from 2″ to approximately 1″, and the uncertainty of the systematic measurement is improved from 5.67″ to approximately 3.43″.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116036"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An error compensation method for on-machine measuring blade with industrial robot","authors":"Junjie Zhang,&nbsp;Lai Zou,&nbsp;Xinghao Zhang,&nbsp;Ziling Wang,&nbsp;Wenxi Wang","doi":"10.1016/j.measurement.2024.116039","DOIUrl":"10.1016/j.measurement.2024.116039","url":null,"abstract":"<div><div>To achieve the seamless integration of precision grinding blade with timely measured data, an on-machine measurement system employing industrial robot is developed. The limitation to its widespread application lies in the accuracy of measurement, prompting the proposal of an error compensation method to address the measurement error within the implemented blade on-machine measurement system. To address the pre-travel error in the measuring device of the on-machine measurement system, an analysis of the factors influencing the pre-travel error of the contact probe is conducted. Subsequently, pre-travel error data is gathered utilizing the experimental calibration method involving a standard ball, and a prediction model employing the bilinear interpolation algorithm is established to facilitate error compensation. Employing pre-travel error compensation for the analysis of the operating body error in the on-machine measurement system, a spherical center distance constraint error model is derived through closed-loop kinematic calibration of the six-degrees-of-freedom industrial robot. Kinematic parameter error identification is conducted using a hybrid algorithm combining the L-M algorithm and the adaptive factor double-variable DE algorithm. This approach diminishes the spherical center distance measurement error, reducing it from 0.081 mm to 0.016 mm. Subsequently, experiment is conducted to measure blade machining allowances using an on-machine robotic measurement system, comparing the obtained data with measurement from a blue light scanner and a coordinate measuring machine (CMM). The results reveal average absolute deviations of 0.020 mm, 0.015 mm, and 0.016 mm in the three blade cross sections for the on-machine robotic measurement system and the blue light scanner, respectively. Correspondingly, the average absolute deviations for the on-machine robotic measurement system and the CMM in the three blade sections are 0.028 mm, 0.029 mm, and 0.029 mm. Moreover, the on-machine measurement system demonstrates commendable measurement repeatability, with a standard deviation of 0.003 mm.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116039"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A procedure for assessing of machine health index data prediction quality","authors":"Daniel Kuzio ,&nbsp;Radosław Zimroz ,&nbsp;Agnieszka Wyłomańska","doi":"10.1016/j.measurement.2024.116040","DOIUrl":"10.1016/j.measurement.2024.116040","url":null,"abstract":"<div><div>The paper discusses the challenge of evaluating the prognosis quality of machine health index (HI) data. Many existing solutions in machine health forecasting involve visual assessing of the quality of predictions to roughly gauge the similarity between predicted and actual samples, lacking precise measures or decisions. In this paper, we introduce a universal procedure with multiple variants and criteria. The overarching concept involves comparing predicted data with true HI time series, but each procedure variant has a specific pattern determined through statistical analysis. Additionally, a statistically established threshold is employed to classify the result as either a reliable or non-reliable prognosis. The criteria include both simple measures (MSE, MAPE) and more advanced ones (Space quantiles-inclusion factor, Kupiec’s POF, and TUFF statistics). Depending on the criterion chosen, the pattern and decision-making process vary. To illustrate effectiveness, we apply the proposed procedure to HI data sourced from the literature, covering both warning (linear degradation) and critical (exponential degradation) stages. While the method yields a binary output, there is potential for extension to a multi-class classification. Furthermore, experienced users can use the quality measure expressed in percentage for more in-depth analysis.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116040"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A portable dual-mode colorimetric and fluorescence sensing platform for RGB detection in liquid solutions","authors":"Liang Huang ,&nbsp;Jiaxu Shui ,&nbsp;Jingui Qian ,&nbsp;Jin Zhang ,&nbsp;Fan Ni ,&nbsp;Haojie Xia","doi":"10.1016/j.measurement.2024.116091","DOIUrl":"10.1016/j.measurement.2024.116091","url":null,"abstract":"<div><div>The color of liquids is crucial in food safety, pharmaceuticals, cosmetics, and environmental monitoring. Traditional color measurement methods typically require expensive spectrophotometers, limiting their utility in rapid testing and cost-effective applications. This study developed a cost-effective, portable dual-mode colorimetric and fluorescence sensing platform with using the TCS230 sensor and STM32F103ZET6 microcontroller for real-time RGB color detection. Equipped with built-in white and ultraviolet light sources, the platform operates reliably across different environmental conditions, aided by its darkroom design and white balance calibration strategy to minimize ambient light interference. Tests with fluorescent and dye solutions show stability and reliability of the platform. The relationship between color saturation and concentration under different concentrations showed the excellent correlation coefficients above 0.99 for CuSO₄ and KMnO₄ solutions. The measurement deviations of 1.93% to 3.41%, render it an efficient tool for on-site and multiple-mode color testing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116091"},"PeriodicalIF":5.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}