Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117012
Indrajit Dey , Provas Kumar Roy
This paper introduces a chaotic quasi-oppositional arithmetic optimization algorithm (CQOAOA) for the placement and sizing of renewable distributed generators (DG) with the objective of active power loss minimization, annual operation costs reduction, and pollutant gas emissions mitigation and a multi-objective task of simultaneous optimization of annual operating costs and pollutant gas emissions are taken into consideration. The proposed CQOAOA algorithm is an improved version of arithmetic optimization algorithm (AOA). Here, two renewable energy sources solar and wind energy are used as DG where wind speed variation and solar irradiation are considered. The effectiveness of CQOAOA is exhibited on 33-bus, and 94-bus (Portuguese system) radial distribution networks (RDN). The percentage improvement obtained by CQOAOA algorithm with the objective of real power loss mitigation, pollutant gas emissions reduction, annual operation cost minimization are 58.69%, 99.94%, 22.30% for 33-bus system and 77.81%, 99.98%, 21.44% for 94-bus system respectively.
{"title":"Renewable DG allocation in radial distribution networks for techno-economic analysis using Chaotic Quasi Oppositional Arithmetic Optimization Algorithm","authors":"Indrajit Dey , Provas Kumar Roy","doi":"10.1016/j.measurement.2025.117012","DOIUrl":"10.1016/j.measurement.2025.117012","url":null,"abstract":"<div><div>This paper introduces a chaotic quasi-oppositional arithmetic optimization algorithm (CQOAOA) for the placement and sizing of renewable distributed generators (DG) with the objective of active power loss minimization, annual operation costs reduction, and pollutant gas emissions mitigation and a multi-objective task of simultaneous optimization of annual operating costs and pollutant gas emissions are taken into consideration. The proposed CQOAOA algorithm is an improved version of arithmetic optimization algorithm (AOA). Here, two renewable energy sources solar and wind energy are used as DG where wind speed variation and solar irradiation are considered. The effectiveness of CQOAOA is exhibited on 33-bus, and 94-bus (Portuguese system) radial distribution networks (RDN). The percentage improvement obtained by CQOAOA algorithm with the objective of real power loss mitigation, pollutant gas emissions reduction, annual operation cost minimization are 58.69%, 99.94%, 22.30% for 33-bus system and 77.81%, 99.98%, 21.44% for 94-bus system respectively.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117012"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463653","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117077
Yu Zhang , Zhixin Zhang , Xiaobo Rui , Lei Qi , Lixin Xu , Ningbo Shi
Containment structures are paramount as the ultimate physical defense in nuclear power plants, tasked with hindering the release of radioactive materials. Seal failures, typically referring to leakage events, on the containment are deemed unacceptable defects. Additionally, capturing the initial moment of leakage event in practical applications often presents a significant challenge to conventional localization methods. This paper reports an experimental investigation on the location of the real continuous leakage caused by air vibration through an acoustical location method under the platform of a simulated containment leak location system. We propose a cross-correlation time difference estimation strategy based on minimum variance cutoff optimization. This method addresses the challenge of determining the arrival time of continuous signals by optimizing the cross-correlation time difference estimation. It overcomes the limitations of traditional TDOA algorithms in continuous signal scenarios and enables the localization of continuous leakage signals. The results indicate that this method achieves a localization error margin of less than 3 cm for actual gas leakages within the simulated containment environment. Furthermore, this method addresses the issue faced by traditional localization techniques, which struggle to ascertain the arrival time of continuous gas leakage signals, thus complicating precise positioning. Demonstrating significant utility, this method is notably suited for detecting continuous leakage signals within large storage tanks, suggesting broad applicability in ensuring containment integrity in nuclear facilities.
{"title":"Acoustic-based detection and precise localization of seal failure points in nuclear power plant containment","authors":"Yu Zhang , Zhixin Zhang , Xiaobo Rui , Lei Qi , Lixin Xu , Ningbo Shi","doi":"10.1016/j.measurement.2025.117077","DOIUrl":"10.1016/j.measurement.2025.117077","url":null,"abstract":"<div><div>Containment structures are paramount as the ultimate physical defense in nuclear power plants, tasked with hindering the release of radioactive materials. Seal failures, typically referring to leakage events, on the containment are deemed unacceptable defects. Additionally, capturing the initial moment of leakage event in practical applications often presents a significant challenge to conventional localization methods. This paper reports an experimental investigation on the location of the real continuous leakage caused by air vibration through an acoustical location method under the platform of a simulated containment leak location system. We propose a cross-correlation time difference estimation strategy based on minimum variance cutoff optimization. This method addresses the challenge of determining the arrival time of continuous signals by optimizing the cross-correlation time difference estimation. It overcomes the limitations of traditional TDOA algorithms in continuous signal scenarios and enables the localization of continuous leakage signals. The results indicate that this method achieves a localization error margin of less than 3 cm for actual gas leakages within the simulated containment environment. Furthermore, this method addresses the issue faced by traditional localization techniques, which struggle to ascertain the arrival time of continuous gas leakage signals, thus complicating precise positioning. Demonstrating significant utility, this method is notably suited for detecting continuous leakage signals within large storage tanks, suggesting broad applicability in ensuring containment integrity in nuclear facilities.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117077"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510684","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117059
Caizhi Li , Hanyi Guo , Xiaolong Wei , Weifeng He , Xiangfan Nie , Tiejun Zhang , Yang Fang
In recent years, a lot of research has been carried out to achieve intelligent ultrasonic NDT of composite materials. This paper proposes an intelligent ultrasonic NDT method to assist manual inspection, which does not require additional labelled data. The technique utilizes an improved variational auto-encoder (VAE) to construct an ultrasonic signal classification module. It automatically identifies normal and abnormal signals in composites by reconstructing them and calculating the errors, with an average Area Under Curve (AUC) value of 0.958. The method also designs a probe tracking module to replace the conventional encoder, with a tracking success rate of 92.1% and a tracking speed of 35 fps. Finally, the composite inspection results are visually presented using the ultrasonic signal classification and probe tracking results. The results show that this method makes it easier and faster to show the internal state of the composite material.
{"title":"SaimVAE: An unlabeled intelligent ultrasonic NDT method for composite materials","authors":"Caizhi Li , Hanyi Guo , Xiaolong Wei , Weifeng He , Xiangfan Nie , Tiejun Zhang , Yang Fang","doi":"10.1016/j.measurement.2025.117059","DOIUrl":"10.1016/j.measurement.2025.117059","url":null,"abstract":"<div><div>In recent years, a lot of research has been carried out to achieve intelligent ultrasonic NDT of composite materials. This paper proposes an intelligent ultrasonic NDT method to assist manual inspection, which does not require additional labelled data. The technique utilizes an improved variational auto-encoder (VAE) to construct an ultrasonic signal classification module. It automatically identifies normal and abnormal signals in composites by reconstructing them and calculating the errors, with an average Area Under Curve (AUC) value of 0.958. The method also designs a probe tracking module to replace the conventional encoder, with a tracking success rate of 92.1% and a tracking speed of 35 fps. Finally, the composite inspection results are visually presented using the ultrasonic signal classification and probe tracking results. The results show that this method makes it easier and faster to show the internal state of the composite material.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117059"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511184","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117020
Paulo Pereira , Fernando Ribeiro , Rosângela Motta , Alfredo Gay Neto , Liedi Bernucci , Edvaldo Fonseca Júnior , Edson Moura , Ronaldo Silva , Luciano Oliveira , Iara Melo
Periodic measurement of railway track geometry is crucial for effective maintenance. Track recording cars (TRCs) are typically used for continuous geometric assessment, but high costs and the need for specialized personnel limit availability. This paper proposes a novel method using a lightweight trolley with 12 topographic prisms to measure superelevation, vertical alignment, and twist, serving as an alternative to TRCs for monitoring smaller sections. A comparative study was conducted on the Carajás Railway, comparing data from the proposed method with TRC measurements. The proposed method (unloaded geometry) was effective, as it presented similar result to those of TRC, showing a good linear correlation coefficient. However, the loaded geometry from the TRC exhibited different values for the geometric parameters and their respective standard deviations. These variations should be considered when establishing limits for track quality indices, as they can be influenced by the type of equipment, wheel loads, and track stiffness.
{"title":"Perspectives of assessing the geometric condition of railway tracks using a device for measuring the topographic profile","authors":"Paulo Pereira , Fernando Ribeiro , Rosângela Motta , Alfredo Gay Neto , Liedi Bernucci , Edvaldo Fonseca Júnior , Edson Moura , Ronaldo Silva , Luciano Oliveira , Iara Melo","doi":"10.1016/j.measurement.2025.117020","DOIUrl":"10.1016/j.measurement.2025.117020","url":null,"abstract":"<div><div>Periodic measurement of railway track geometry is crucial for effective maintenance. Track recording cars (TRCs) are typically used for continuous geometric assessment, but high costs and the need for specialized personnel limit availability. This paper proposes a novel method using a lightweight trolley with 12 topographic prisms to measure superelevation, vertical alignment, and twist, serving as an alternative to TRCs for monitoring smaller sections. A comparative study was conducted on the Carajás Railway, comparing data from the proposed method with TRC measurements. The proposed method (unloaded geometry) was effective, as it presented similar result to those of TRC, showing a good linear correlation coefficient. However, the loaded geometry from the TRC exhibited different values for the geometric parameters and their respective standard deviations. These variations should be considered when establishing limits for track quality indices, as they can be influenced by the type of equipment, wheel loads, and track stiffness.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117020"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474473","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117062
Xiaoqian Cui , Hongbei Wang , Yuanbo Li , Zhiwei Wang , Yinxian Jie , Hongbin Ding , Haiqing Liu
Phase-shifting interferometry (PSI) is known as a promising method for measuring surface morphology. A study of PSI-based strategy for diagnosing the surface of first mirrors in Tokamak device is in progress. However, the vibration environment of the fusion device seriously affects the measurement accuracy of PSI and solutions must be explored. It has been observed that selecting the appropriate exposure time for image acquisition can significantly reduce the impact of vibration on PSI measurements. The selection of exposure time is related to the vibration amplitude and vibration frequency. A formula has been proposed to describe this relationship and guide the determination of optimal exposure time in a specific vibrational environment. A mechanical pump is employed to generate natural vibration with an amplitude of 140 nm and a frequency of 120 Hz. The derived relationship indicates that the optimal exposure time is 32 ms, which enhances the measurement accuracy by 268.9 % in comparison to using a shorter exposure time of 1 ms. This discovery offers a more straightforward yet efficient method to enhance the precision of PSI measurement in vibrational settings.
{"title":"An improved approach for minimizing the vibrational effects on the phase-shifting interferometry measurement by optimizing the exposure time","authors":"Xiaoqian Cui , Hongbei Wang , Yuanbo Li , Zhiwei Wang , Yinxian Jie , Hongbin Ding , Haiqing Liu","doi":"10.1016/j.measurement.2025.117062","DOIUrl":"10.1016/j.measurement.2025.117062","url":null,"abstract":"<div><div>Phase-shifting interferometry (PSI) is known as a promising method for measuring surface morphology. A study of PSI-based strategy for diagnosing the surface of first mirrors in Tokamak device is in progress. However, the vibration environment of the fusion device seriously affects the measurement accuracy of PSI and solutions must be explored. It has been observed that selecting the appropriate exposure time for image acquisition can significantly reduce the impact of vibration on PSI measurements. The selection of exposure time is related to the vibration amplitude and vibration frequency. A formula has been proposed to describe this relationship and guide the determination of optimal exposure time in a specific vibrational environment. A mechanical pump is employed to generate natural vibration with an amplitude of 140 nm and a frequency of 120 Hz. The derived relationship indicates that the optimal exposure time is 32 ms, which enhances the measurement accuracy by 268.9 % in comparison to using a shorter exposure time of 1 ms. This discovery offers a more straightforward yet efficient method to enhance the precision of PSI measurement in vibrational settings.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117062"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520553","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117058
Xinxin Yu , Sergio Muñoz , Pedro Urda , Javier F. Aceituno , Miguel Rodríguez Gómez , José L. Escalona
This investigation uses a scale vehicle-track experimental facility to study the calculation of rail corrugation using vertical accelerations measured in the axle-box of rail vehicles and a transfer function (TF). The rail corrugated profile is machined in the rail heads of the scale track following a periodic function with four harmonics. Experiments are performed with a scale bogie-like vehicle at different forward velocities in the range inspection velocities. Two simple analytical forms of the TF are studied: the kinematic TF, that assumes that the axle box follows the rail profile, and the TF of a 2-dof model of the vehicle-track system. For the vehicle response analysis, this work proposes to normalize the measured acceleration with the square of the forward velocity of the vehicle, that is assumed to be approximately constant. This normalized acceleration reduces the effect of the forward velocity on the TF. Experimental results show that the kinematic TF can be used to measure the track corrugation for moderate forward velocities providing reasonable but not accurate results. The limitation of the kinematic TF is mainly due to free flights and wheel rail curvature incompatibility. The measured axle-box accelerations may include frequency peaks that are not excitation frequencies and can distort the rail profile measurement. Results show that linear elastic models like the assumed 2-dof model do not explain the appearance of these non-excitation peaks.
{"title":"Experimental study of the use of a transfer function to find rail corrugation from axle-box accelerations","authors":"Xinxin Yu , Sergio Muñoz , Pedro Urda , Javier F. Aceituno , Miguel Rodríguez Gómez , José L. Escalona","doi":"10.1016/j.measurement.2025.117058","DOIUrl":"10.1016/j.measurement.2025.117058","url":null,"abstract":"<div><div>This investigation uses a scale vehicle-track experimental facility to study the calculation of rail corrugation using vertical accelerations measured in the axle-box of rail vehicles and a transfer function (TF). The rail corrugated profile is machined in the rail heads of the scale track following a periodic function with four harmonics. Experiments are performed with a scale bogie-like vehicle at different forward velocities in the range inspection velocities. Two simple analytical forms of the TF are studied: the kinematic TF, that assumes that the axle box follows the rail profile, and the TF of a 2-dof model of the vehicle-track system. For the vehicle response analysis, this work proposes to normalize the measured acceleration with the square of the forward velocity of the vehicle, that is assumed to be approximately constant. This normalized acceleration reduces the effect of the forward velocity on the TF. Experimental results show that the kinematic TF can be used to measure the track corrugation for moderate forward velocities providing reasonable but not accurate results. The limitation of the kinematic TF is mainly due to free flights and wheel rail curvature incompatibility. The measured axle-box accelerations may include frequency peaks that are not excitation frequencies and can distort the rail profile measurement. Results show that linear elastic models like the assumed 2-dof model do not explain the appearance of these non-excitation peaks.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117058"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487636","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}
Pub Date : 2025-02-20DOI: 10.1016/j.measurement.2025.117051
Quanbo Liu, Xiaoli Li, Kang Wang
The burning of fossil fuels is responsible for a large share of global electricity generation, leading to the emission of various atmospheric pollutants, such as sulfur dioxide (SO2). Due to the significant release of SO2 from coal combustion, wet flue gas desulfurization (WFGD) technologies are widely utilized in coal-powered plants. The design of WFGD modeling systems is essential for enhancing and managing the desulfurization process. However, WFGD processes in industrial settings are complex, featuring non-linear behavior, time delays, and dynamic uncertainties driven by environmental changes, making effective dynamic modeling a daunting task. This study presents an innovative modeling system that combines machine learning, multi-model approaches, and dynamic neural model to address these challenges. The system achieves high accuracy in predicting SO2 emission concentration, even with fluctuating process dynamics. The proposed modeling system’s effectiveness and practicality are validated through an examination of a real-world WFGD process. Moreover, its flexible structure, real-time capability, and exceptional performance highlight its broad applicability across many sectors.
{"title":"Real-time dynamic modelling of industrial WFGD process using an intelligence-based multi-model approach","authors":"Quanbo Liu, Xiaoli Li, Kang Wang","doi":"10.1016/j.measurement.2025.117051","DOIUrl":"10.1016/j.measurement.2025.117051","url":null,"abstract":"<div><div>The burning of fossil fuels is responsible for a large share of global electricity generation, leading to the emission of various atmospheric pollutants, such as sulfur dioxide (SO<sub>2</sub>). Due to the significant release of SO<sub>2</sub> from coal combustion, wet flue gas desulfurization (WFGD) technologies are widely utilized in coal-powered plants. The design of WFGD modeling systems is essential for enhancing and managing the desulfurization process. However, WFGD processes in industrial settings are complex, featuring non-linear behavior, time delays, and dynamic uncertainties driven by environmental changes, making effective dynamic modeling a daunting task. This study presents an innovative <span><math><mtext>FGD</mtext></math></span> modeling system that combines machine learning, multi-model approaches, and dynamic neural model to address these challenges. The system achieves high accuracy in predicting SO<sub>2</sub> emission concentration, even with fluctuating process dynamics. The proposed modeling system’s effectiveness and practicality are validated through an examination of a real-world WFGD process. Moreover, its flexible structure, real-time capability, and exceptional performance highlight its broad applicability across many sectors.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117051"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511186","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}
Pub Date : 2025-02-19DOI: 10.1016/j.measurement.2025.117050
Jiyou Wang , Ying Li , Zhaoyi Zhang , Zi Wang , Zhichen Liu
The accurate and rapid estimation of berthing parameters is crucial for assisting the autonomous berthing of inshore ships. Recently, the 3D light detection and ranging (LiDAR) has proven highly effective in maritime monitoring, particularly for ship berthing, owing to its ability to provide detailed spatial position information of the target with high measurement accuracy. However, although raw point cloud contains rich features to perform information extraction, bird’s eye view (BEV) projection, a more compact representation, is often preferred in order to meet the time and accuracy requirements and reduce computation costs in such real-time applications. Therefore, this paper presents a new method for estimating motion pose information of inshore ships using BEV image generated from LiDAR point cloud data. The method uses BEV images as input to determine the spatial position of ship’s key points. And the real-time parameters, including the berthing angle, offshore distance, velocity and other information, are finally output by analyzing the differences in pose between these points across two consecutive frames. The proposed method is tested on the real-ship data collected at Dalian Port (China) and publicly available simulation data. Comprehensive experiments demonstrate that our method can provide more accurate and stable berthing pose information in real time, supporting efficient and safe berthing operations.
{"title":"Inshore-ship berthing parameters extraction system using 2D bird’s eye view of 3D LiDAR data","authors":"Jiyou Wang , Ying Li , Zhaoyi Zhang , Zi Wang , Zhichen Liu","doi":"10.1016/j.measurement.2025.117050","DOIUrl":"10.1016/j.measurement.2025.117050","url":null,"abstract":"<div><div>The accurate and rapid estimation of berthing parameters is crucial for assisting the autonomous berthing of inshore ships. Recently, the 3D light detection and ranging (LiDAR) has proven highly effective in maritime monitoring, particularly for ship berthing, owing to its ability to provide detailed spatial position information of the target with high measurement accuracy. However, although raw point cloud contains rich features to perform information extraction, bird’s eye view (BEV) projection, a more compact representation, is often preferred in order to meet the time and accuracy requirements and reduce computation costs in such real-time applications. Therefore, this paper presents a new method for estimating motion pose information of inshore ships using BEV image generated from LiDAR point cloud data. The method uses BEV images as input to determine the spatial position of ship’s key points. And the real-time parameters, including the berthing angle, offshore distance, velocity and other information, are finally output by analyzing the differences in pose between these points across two consecutive frames. The proposed method is tested on the real-ship data collected at Dalian Port (China) and publicly available simulation data. Comprehensive experiments demonstrate that our method can provide more accurate and stable berthing pose information in real time, supporting efficient and safe berthing operations.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117050"},"PeriodicalIF":5.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479624","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}
Pub Date : 2025-02-19DOI: 10.1016/j.measurement.2025.117055
He Liu, Huaide Geng, Guoqi Yang, Weinan Huang, Xuping Wang, Long Quan
Accurate flow measurement is crucial for the efficient operation and precise control of hydraulic systems. However, current flow measurement and control technologies exhibit certain limitations. Existing flow sensors suffer from increased pressure drop as flow rise, resulting in diminished measurement accuracy and higher energy consumption. Soft measurement methods for flow rely heavily on extensive experimental data sets, which may not always be available or practical. Pressure compensation valves also present challenges, including inadequate control accuracy, reduced flow capacity, and elevated pressure drop. To address these issues, this paper proposes an innovative method for a flow sensor with active regulation capabilities, which directly converts spool displacement into flow information. Additionally, an electromagnetic force active control unit is incorporated to compensate for measurement errors caused by factors such as spring force and flow force. The active control unit can also adjust flow gain to expand the measurement range or enhance measurement resolution, thereby accommodating both high-flow and low-flow conditions. Furthermore, the sensor can be easily installed on the valve to facilitate high-precision closed-loop flow control without the need for pressure compensation valves. The effectiveness of the proposed configuration and method has been validated verified through multidisciplinary co-simulation and testing. Results indicate that the flow measurement error is approximately 0.66 % with active regulation, and variable flow gain functionality can be achieved. The flow control accuracy is about 1 %, and the system demonstrates strong anti-load disturbance.
{"title":"Research on flow measurement and control integrated strategy based on a flow sensor with active regulation","authors":"He Liu, Huaide Geng, Guoqi Yang, Weinan Huang, Xuping Wang, Long Quan","doi":"10.1016/j.measurement.2025.117055","DOIUrl":"10.1016/j.measurement.2025.117055","url":null,"abstract":"<div><div>Accurate flow measurement is crucial for the efficient operation and precise control of hydraulic systems. However, current flow measurement and control technologies exhibit certain limitations. Existing flow sensors suffer from increased pressure drop as flow rise, resulting in diminished measurement accuracy and higher energy consumption. Soft measurement methods for flow rely heavily on extensive experimental data sets, which may not always be available or practical. Pressure compensation valves also present challenges, including inadequate control accuracy, reduced flow capacity, and elevated pressure drop. To address these issues, this paper proposes an innovative method for a flow sensor with active regulation capabilities, which directly converts spool displacement into flow information. Additionally, an electromagnetic force active control unit is incorporated to compensate for measurement errors caused by factors such as spring force and flow force. The active control unit can also adjust flow gain to expand the measurement range or enhance measurement resolution, thereby accommodating both high-flow and low-flow conditions. Furthermore, the sensor can be easily installed on the valve to facilitate high-precision closed-loop flow control without the need for pressure compensation valves. The effectiveness of the proposed configuration and method has been validated verified through multidisciplinary co-simulation and testing. Results indicate that the flow measurement error is approximately 0.66 % with active regulation, and variable flow gain functionality can be achieved. The flow control accuracy is about 1 %, and the system demonstrates strong anti-load disturbance.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117055"},"PeriodicalIF":5.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471587","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}
Pub Date : 2025-02-19DOI: 10.1016/j.measurement.2025.117057
Shoresh Shokoohi, Jamal Moshtagh
Bearing faults are a leading cause of failure in induction motors, which are widely used in various industrial applications. Early detection of such faults is critical to prevent costly breakdowns and enhance operational efficiency. While model-based fault detection methods have been successfully applied to other components of induction motors, the use of these methods for bearing fault diagnosis has not yet been comprehensively explored. This paper presents a comprehensive study of the parity equation model-based fault diagnosis technique, which has been newly applied to bearing faults in induction motors.
Experimental validation was conducted using both healthy and faulty motor conditions, simulating various bearing defects. The specific techniques show promise for accurate and reliable fault detection in bearings, opening new avenues for improving condition monitoring in induction motors. This work provides valuable insights for practitioners and researchers aiming to enhance fault detection capabilities in electrical machines.
{"title":"Parity equation model-based fault diagnosis method newly applied to bearing faults in induction motors","authors":"Shoresh Shokoohi, Jamal Moshtagh","doi":"10.1016/j.measurement.2025.117057","DOIUrl":"10.1016/j.measurement.2025.117057","url":null,"abstract":"<div><div>Bearing faults are a leading cause of failure in induction motors, which are widely used in various industrial applications. Early detection of such faults is critical to prevent costly breakdowns and enhance operational efficiency. While model-based fault detection methods have been successfully applied to other components of induction motors, the use of these methods for bearing fault diagnosis has not yet been comprehensively explored. This paper presents a comprehensive study of the parity equation model-based fault diagnosis technique, which has been newly applied to bearing faults in induction motors.</div><div>Experimental validation was conducted using both healthy and faulty motor conditions, simulating various bearing defects. The specific techniques show promise for accurate and reliable fault detection in bearings, opening new avenues for improving condition monitoring in induction motors. This work provides valuable insights for practitioners and researchers aiming to enhance fault detection capabilities in electrical machines.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117057"},"PeriodicalIF":5.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487212","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}
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