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Online Monitoring of Welding Status Based on a DBN Model During Laser Welding Article

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Engineering 2019, Volume 5, Issue 4,   Pages 671-678 doi: 10.1016/j.eng.2019.01.016

Abstract:

In this research, an auxiliary illumination visual sensor system, an ultraviolet/visible (UVV) band visual sensor system (with a wavelength less than 780 nm), a spectrometer, and a photodiode are employed to capture insights into the high-power disc laser welding process. The features of the visible optical light signal and the reflected laser light signal are extracted by decomposing the original signal captured by the photodiode via the wavelet packet decomposition (WPD) method. The captured signals of the spectrometer mainly have a wavelength of 400–900 nm, and are divided into 25 sub-bands to extract the spectrum features by statistical methods. The features of the plume and spatters are acquired by images captured by the UVV visual sensor system, and the features of the keyhole are extracted from images captured by the auxiliary illumination visual sensor system. Based on these real-time quantized features of the welding process, a deep belief network (DBN) is established to monitor the welding status. A genetic algorithm is applied to optimize the parameters of the proposed DBN model. The established DBN model shows higher accuracy and robustness in monitoring welding status in comparison with a traditional back-propagation neural network (BPNN) model. The effectiveness and generalization ability of the proposed DBN are validated by three additional experiments with different welding parameters.

 

Keywords： Online monitoring     Multiple sensors     Wavelet packet decomposition     Deep belief network    

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Special issue on “Molecular Sensors and Molecular Logic Gates”

Luling Wu , Tony D. James

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1,   Pages 1-3 doi: 10.1007/s11705-021-2134-y

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High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 393-405 doi: 10.15302/J-FASE-2018226

Abstract: Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and moreRecent developments in high resolution satellite sensors have significantly narrowed the gap in spatialThis article will provide an overview of commercially available high resolution satellite sensors thatSome challenges and future directions on the use of high resolution satellite sensors and other typesof remote sensors for precision agriculture are discussed.

Keywords： high resolution satellite sensor     multispectral imagery     precision agriculture     spatial resolution     temporal resolution    

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Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic

Guixiong LIU, Peiqiang ZHANG, Chen XU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 129-133 doi: 10.1007/s11465-009-0035-8

Abstract: cantilever-beam and the novel controllable mag-viscosity of magnetic fluid, the output of cantilever-beam sensorsis under control so that the controllable output of the sensors can be realized.The mathematical model of the sensors is established and analyzed.The result shows that it is valid to realize the controllable output of the sensors by controlling the

Keywords： sensors     magnetic fluid     property of mag-viscosity     controllable output    

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Soft curvature sensors for measuring the rotational angles of mechanical fingers

Haixiao LIU, Li LI, Zhikang OUYANG, Wei SUN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 610-621 doi: 10.1007/s11465-020-0596-0

Abstract: The design, fabrication, and testing of soft sensors that measure elastomer curvature and mechanicalThe base of the soft sensors is polydimethylsiloxane (PDMS), which is a translucent elastomer.The main body of the soft sensors consists of three layers of silicone rubber plate, and the sensingFirst, the working principle of soft sensors is investigated, and their structure is designed.Lastly, the soft sensors are applied to the measurement of mechanical finger bending.

Keywords： soft sensor     Ga-In-Sn alloy     strain sensing     curvature sensing     mechanical finger bending    

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MEMS-based thermoelectric infrared sensors: A review

Dehui XU, Yuelin WANG, Bin XIONG, Tie LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 557-566 doi: 10.1007/s11465-017-0441-2

Abstract:

In the past decade, micro-electromechanical systems (MEMS)-based thermoelectric infrared (IR) sensorsThis paper presents a review of MEMS-based thermoelectric IR sensors.sensing materials, thermal isolation microstructures, absorber designs, and packaging methods for these sensors

Keywords： thermoelectric infrared sensor     CMOS-MEMS     thermopile     micromachining     wafer-level package    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multiple

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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Situational Awareness in Construction and Facility Management

Burcu Akinci

Frontiers of Engineering Management 2014, Volume 1, Issue 3,   Pages 283-289 doi: 10.15302/J-FEM-2014037

Abstract: Engineers and managers involved in construction and facility/infrastructure operations need situational awareness about the as-is conditions when making daily decisions and developing short- and long-term plans. Yet, currently situational awareness of engineers is often challenged due to missing data and the available data not being in a format that is easily accessible and actionable. Advances in reality capture technologies, such as 3-dimensional (3D) imaging, in-situ sensing, equipment on-board instrumentation and electronic tagging, streamline the capturing of the as-is conditions on job sites. The data collected from these technologies, integrated with building information models depicting the as-planned conditions, can help in creating and storing the history of as-is conditions of a facility to support a variety of decisions that engineers and managers need to make. While the opportunities associated with integrating building information models and data capture technologies are compelling, several challenges need to be addressed through research for effective usage of these technologies. Such challenges include assessing the accuracy of the data collected at the field, developing and evaluating data processing and data fusion approaches, formalizing integrated representation of building information models and sensor and other relevant data, and investigating and developing approaches for analyzing and visualizing such integrated information models. This paper provides examples of recent research studies done at the Civil and Environmental Engineering Department at Carnegie Mellon University that demonstrate opportunities associated with integrating building information models and sensor information for facility operations.

Keywords： building information models (BIM)     sensors     facility operations and management     construction management    

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Data-driven soft sensors in blast furnace ironmaking: a survey Review Article

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 327-354 doi: 10.1631/FITEE.2200366

Abstract: The is a highly energy-intensive, highly polluting, and extremely complex reactor in the . are a key technology for predicting molten iron quality indices reflecting energy consumption and operation stability, and play an important role in saving energy, reducing emissions, improving product quality, and producing economic benefits. With the advancement of the Internet of Things, big data, and artificial intelligence, data-driven in es have attracted increasing attention from researchers, but there has been no systematic review of the data-driven in the . This review covers the state-of-the-art studies of data-driven technologies in the . Specifically, we first conduct a comprehensive overview of various data-driven soft sensor modeling methods (multiscale methods, adaptive methods, , etc.) used in ironmaking. Second, the important applications of data-driven in ironmaking (silicon content, molten iron temperature, gas utilization rate, etc.) are classified. Finally, the potential challenges and future development trends of data-driven in ironmaking applications are discussed, including digital twin, multi-source data fusion, and carbon peaking and carbon neutrality.

Keywords： Soft sensors     Data-driven modeling     Machine learning     Deep learning     Blast furnace     Ironmaking process    

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Analysis of the treatment outcomes of esophageal variceal bleeding patients from multiple centers in

WANG Zhiqiang

Frontiers of Medicine 2008, Volume 2, Issue 2,   Pages 171-173 doi: 10.1007/s11684-008-0031-0

Abstract: This study aimed to investigate the treatment outcomes of esophageal variceal bleeding (EVB) in China. A total of 1087 cases were collected from 19 hospitals in 16 large and medium sized cities across China between January 1st, 2005 and January 1st, 2006. There were 313 cases (29.0%) of mild (<400 mL), 494 cases (45.8%) of moderate (400–1500 mL) and 272 cases (25.2%) of severe (>1500 mL) bleeding. Successful hemostasis was achieved in 89.8% of cases. Seven hundred and eighty-five cases were treated by medication with a hemostasis rate of 91.8%. Seventy-one cases were treated using a Sengstaken-Blakemore tube with a hemostasis rate of 54.9%. Thirty-seven cases were treated with emergency endoscopic variceal ligation with a hemostasis rate of 83.8%. Seventy-seven cases were treated with endoscopic sclerotherapy with a hemostasis rate of 94.8%. Forty-three cases were treated with emergency surgical operation with a hemostasis rate of 95.3%. Sixty-six cases were treated with combined therapy with a hemostasis rate of 97.0%. There was a significant difference ( < 0.01) in the successful hemostasis rate between different treatments. The overall mortality was 10.1%, among which 6.6% was directly caused by bleeding. The multivariate logistic regression analysis shows that the severity of bleeding, treatment methods, liver dysfunction and activation of hepatitis were predictive factors for successful hemostasis. Most cases of EVB were mild and moderate in severity. The first-line treatment for EVB is medication. Emergency endoscopic intervention has not been widely available yet. The overall management outcome of EVB has been improved.

Keywords： significant difference     predictive     medication     first-line treatment     bleeding    

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Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 442-451 doi: 10.1007/s11465-019-0543-0

Abstract: and medium-sized CNC machine tools, heavy-duty CNC machine tools require the use of more temperature sensorsNovel temperature sensors based on fiber Bragg grating (FBG) are developed in this study.A total of 128 FBG temperature sensors that are connected in series through a thin optical fiber areKey TMPs are selected using these large-scale FBG temperature sensors by using the density-based spatial

Keywords： thermal error     heavy-duty CNC machine tools     FBG     key TMPs     prediction model    

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Rapid thermal sensors with high resolution based on an adaptive dual-comb system Special Feature on Precision Measurement and Inst

Yi-zheng GUO, Ming YAN, Qiang HAO, Kang-wen YANG, Xu-ling SHEN, He-ping ZENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 674-684 doi: 10.1631/FITEE.1800347

Abstract:

We report a high-resolution rapid thermal sensing based on adaptive dual comb spectroscopy interrogated with a phase-shifted fiber Bragg grating (PFBG). In comparison with traditional dual-comb systems, adaptive dual-comb spectroscopy is extremely simplified by removing the requirement of strict phase-locking feedback loops from the dual-comb configuration. Instead, two free-running fiber lasers are adopted as the light sources. Because of good compensation of fast instabilities with adaptive techniques, the optical response of the PFBG is precisely characterized through a fast Fourier transform of the interferograms in the time domain. Single-shot acquisition can be accomplished rapidly within tens of milliseconds at a spectral resolution of 0.1 pm, corresponding to a thermal measurement resolution of 0.01 °C. The optical spectral bandwidth of the measurement also exceeds 14 nm, which indicates a large dynamic temperature range. It shows great potential for thermal sensing in practical outdoor applications with a loose self-control scheme in the adaptive dual-comb system.

Keywords： Interferometers     Fiber sensors     Laser spectroscopy    

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4-Amino-1,8-naphthalimide based fluorescent photoinduced electron transfer (PET) pH sensors as liposomal

Miguel Martínez-Calvo, Sandra A. Bright, Emma B. Veale, Adam F. Henwood, D. Clive Williams, Thorfinnur Gunnlaugsson

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 1,   Pages 61-75 doi: 10.1007/s11705-019-1862-8

Abstract: Four new fluorescent sensors ( - ) based on the 4-amino-1,8-naphthalimide fluorophores ( ) have been

Keywords： sensors     pH     photoinduced electron transfer     cellular imaging     confocal microscopy    

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Multiple-antenna techniques in nonorthogonalmultiple access: a review Regular Papers

Fei-yan TIAN, Xiao-ming CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1665-1697 doi: 10.1631/FITEE.1900405

Abstract: As a promising physical layer technique, nonorthogonal multiple access (NOMA) can admit multiple usersTo solve these problems, multiple-antenna techniques have been widely used in NOMA systems by exploitingThis study provides a comprehensive review of various multiple-antenna techniques in NOMA systems, withIn particular, we provide a detailed investigation on multiple-antenna techniques in two-user, multiuser

Keywords： Nonorthogonal multiple access     Multiple-antenna technique     B5G     Internet of Things    

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Sequential degradation-based burn-in test with multiple periodic inspections

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 519-530 doi: 10.1007/s42524-021-0166-0

Abstract: and accelerated lifetime test, this study proposes a sequential degradation-based burn-in model with multiple

Keywords： burn-in     degradation     multiple inspections     Wiener process     partially observed Markov decision process    

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Title Author Date Type Operation

Online Monitoring of Welding Status Based on a DBN Model During Laser Welding

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Journal Article

Special issue on “Molecular Sensors and Molecular Logic Gates”

Luling Wu , Tony D. James

Journal Article

High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

Journal Article

Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic

Guixiong LIU, Peiqiang ZHANG, Chen XU

Journal Article

Soft curvature sensors for measuring the rotational angles of mechanical fingers

Haixiao LIU, Li LI, Zhikang OUYANG, Wei SUN

Journal Article

MEMS-based thermoelectric infrared sensors: A review

Dehui XU, Yuelin WANG, Bin XIONG, Tie LI

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Situational Awareness in Construction and Facility Management

Burcu Akinci

Journal Article

Data-driven soft sensors in blast furnace ironmaking: a survey

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Journal Article

Analysis of the treatment outcomes of esophageal variceal bleeding patients from multiple centers in

WANG Zhiqiang

Journal Article

Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Journal Article

Rapid thermal sensors with high resolution based on an adaptive dual-comb system

Yi-zheng GUO, Ming YAN, Qiang HAO, Kang-wen YANG, Xu-ling SHEN, He-ping ZENG

Journal Article

4-Amino-1,8-naphthalimide based fluorescent photoinduced electron transfer (PET) pH sensors as liposomal

Miguel Martínez-Calvo, Sandra A. Bright, Emma B. Veale, Adam F. Henwood, D. Clive Williams, Thorfinnur Gunnlaugsson

Journal Article

Multiple-antenna techniques in nonorthogonalmultiple access: a review

Fei-yan TIAN, Xiao-ming CHEN

Journal Article

Sequential degradation-based burn-in test with multiple periodic inspections

Journal Article