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Prognostics and system Health Management Conference (PHM)

作者： Guoyan Li Jingbin Zhang Guoliang Lu School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Key Laboratory of Advance Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan China Key Laboratory of High-efficiency and Clean Mechanical Manufacture of MOE National Demonstration Center for Experimental Mechanical Engineering Education School of Mechanical Engineering Shandong University Jinan China

ISBN: (数字)9798350360585

ISBN: (纸本)9798350360592

Capsule network is an innovative deep learning-based model that uses neuron vectors as inputs and outputs of the network. It can achieve independent output of multiple classification labels, and solve the problem of decoupling recognition of compound fault components in planetary gearboxes. However, the single-scale feature extraction cannot fully explore multi-scale feature information in compound fault signals. This study proposes a capsule network combined with multi-scale convolutional feature fusion to diagnose the compound fault of planetary gearbox. The multi-scale features are extracted from STFT images of vibration signals using convolutional layers with different kernel sizes; secondly, a capsule network is designed to classify and identify the fault components by using the dynamic routing algorithm. The experiments are conducted to assess the performance of the proposed method, and the results indicates that it can effectively decoupling identify the compound faults with strong anti-interference and stability.

关键词： Fault diagnosis Vibrations Convolution Heuristic algorithms Feature extraction Stability analysis Vectors

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Mesenchymal stem cells loaded on 3D-printed gradient poly(e-caprolactone)/methacrylated alginate composite scaffolds for cartilage tissue engineering

引用

Regenerative Biomaterials 2021年第3期8卷 70-83页

作者： Yanyan Cao Peng Cheng Shengbo Sang Chuan Xiang Yang An Xiaochun Wei Zhizhong Shen Yixia Zhang Pengcui Li Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education MicroNano System Research CenterCollege of Information and ComputerTaiyuan University of TechnologyTaiyuan 030024China College of Information Science and Engineering Hebei North UniversityZhangjiakou 075000China Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair Department of OrthopedicsThe Second Hospital of Shanxi Medical UniversityTaiyuan 030001China Department of Plastic Surgery Peking University Third HospitalBeijing 100191China Department of Biomedical Engineering College of Biomedical EngineeringTaiyuan University of TechnologyTaiyuan 030024China

Cartilage has limited self-repair ability due to its avascular,alymphatic and aneural *** combination of three-dimensional(3D)printing and tissue engineering provides an up-and-coming approach to address this ***,we designed and fabricated a tri-layered(superficial layer(SL),middle layer(ML)and deep layer(DL))stratified scaffold,inspired by the architecture of collagen fibers in native cartilage *** scaffold was composed of 3D printed depth-dependent gradient poly(e-caprolactone)(PCL)impregnated with methacrylated alginate(ALMA),and its morphological analysis and mechanical properties were *** prove the feasibility of the composite scaffolds for cartilage regeneration,the viability,proliferation,collagen deposition and chondrogenic differentiation of embedded rat bone marrow mesenchymal stem cells(BMSCs)in the scaffolds were assessed by Live/dead assay,CCK-8,DNA content,cell morphology,immunofluorescence and real-time reverse transcription polymerase chain ***-loaded gradient PCL/ALMA scaffolds showed excellent cell survival,cell proliferation,cell morphology,collagen II deposition and hopeful chondrogenic differentiation compared with three individual-layer ***,our study demonstrates the potential use of the gradient PCL/ALMA construct for enhanced cartilage tissue engineering.

关键词： three-dimensional printing cartilage tissue engineering PCL methacrylated alginate bone marrow mesenchymal stem cells

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Ultrasensitive Ammonia Gas Sensor Based on Ti3c2tx/Ti3alc2 Planar Composite at Room Temperature

SSRN

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SSRN 2022年

作者： Liu, Zhihua Han, Dan Liu, Lulu Li, Donghui Han, Xiaomei Chen, Yi Liu, Xiaoru Zhuo, Kai Cheng, Yongqiang Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System the Ministry of Education Taiyuan University of Technology Taiyuan030024 China

Two-dimensional (2D) transition metal carbides (MXene) have attracted great attention for device applications due to their unique structures and excellent properties, such as high electrical conductivity and abundant functional groups on the surface. However, gas sensors based on Ti3C2Tx MXene have the problems of high detection limit and poor long-term stability. Herein, we report a simple method to prepare Ti3C2Tx/Ti3AlC2 planar composite gas sensing materials using high molar ratio of HCl and LiF with Ti3AlC2 as a framework. The Ti3C2Tx/Ti3AlC2 planar composite gas sensor has a high sensitivity, good selectivity and low detection limit for NH3, which can detect 50 ppb (1.2%) at room temperature ((25 ± 2) °C). Furthermore, the gas sensor has good repeatability and long-term stability. After 120 days, the response of the gas sensor to 500 ppb of NH3 fluctuated little due to the Ti3AlC2 as a framework. The superior performances can be attributed to the special heterojunction between Ti3C2Tx and Ti3AlC2 and the high proportion of -O and -OH functional groups on the surface of Ti3C2Tx/Ti3AlC2 composite. This study provides an important reference for the realization of high performance NH3 sensing by Ti3C2Tx. © 2022, The Authors. All rights reserved.

关键词： Gases

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Bearing Fault Diagnosis Based on Dual-Data Input Convolutional Neural Network

SSRN

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SSRN 2022年

作者： He, Chaoqian Hao, Runfang Yang, Kun Yuan, Zhongyun Shang, Shengbo Wang, Xiaorui Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China

Previous bearing fault diagnosis models show low accuracy and unstable performance in strong noise environment, which are not suitable for the actual complex industrial scenarios. In this paper, the dual-channel convolution model (DDCNN) based on dual-data inputs is established. The model used the reconstructed two-dimensional data as inputs. In one channel, convolution with small kernel is used to extract details of FE data, and large kernel obtain global information of DE data in the other. The output is classified through the full connection layer after the data features of both channels are fused. Besides, data are mixed from different loads to avoid cross-load effects as much as possible. The results demonstrate that the proposed model has good accuracy and anti-noise performance. The accuracy is as high as 92.65% when the SNR is -10. © 2022, The Authors. All rights reserved.

关键词： Failure analysis

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A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair 6th

A Simulation Platform for the Brain-Computer Interface (BCI)...

引用

6th International Conference on Artificial Intelligence and Security, ICAIS 2020

作者： Huang, Xinru Xue, Xianwei Yuan, Zhongyun MicroNano System Research Center Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province College of Information and Computer Engineering Taiyuan University of Technology Taiyuan030024 China

ISBN: (纸本)9783030578831

In this paper, we develop a simulation platform for the Brain-Computer Interface (BCI) based smart wheelchair. The main contribution of our system is to implement an efficient simulation platform for the next generation wheelchair. Meanwhile, due to disabled people training with a real-natural environment that is difficult or costly to access, a means to synthetically recreate a virtual environment is necessary to assist patient training for the wheelchair driving. Emotiv neuroheadset provides an effective and reliable means of performing EEG testing during wheelchair training, which is inexpensive and delivers data of similar quality compared to other EEG recording equipment. © 2020, Springer Nature Switzerland AG.

关键词： Wheelchairs

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Parallel Implementation of the Non-Overlapping Template Matching Test Using CUDA

引用

China Communications 2020年第8期17卷 234-241页

作者： Kaikai Li Jianguo Zhang Pu Li Anbang Wang Yuncai Wang Key Lab of Advanced Transducers and Intelligent Control System(Taiyuan University of Technology) Ministry of Education&Shanxi ProvinceTaiyuan 030024China College of Information Engineering Guangdong University of TechnologyGuangzhou 510006China Guangdong Provincial Key Laboratory of Photonics Information Technology Guangdong University of TechnologyGuangzhou 510006China

NIST(National Institute of Standards and Technology) statistical test recognized as the most authoritative is widely used in verifying the randomness of binary sequences. The Non-overlapping Template Matching Test as the 7 th test of the NIST Test Suit is remarkably time consuming and the slow performance is one of the major hurdles in the testing process. In this paper, we present an efficient bit-parallel matching algorithm and segmented scan-based strategy for execution on Graphics Processing Unit(GPU) using NVIDIA Compute Unified Device Architecture(CUDA). Experimental results show the significant performance improvement of the parallelized Non-overlapping Template Matching Test, the running speed is 483 times faster than the original NIST implementation without attenuating the test result accuracy.

关键词： random numbers CUDA non-overlapping template matching test parallel implementation NIST test

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Ultrasensitive Ammonia Gas Sensor Based on Ti3c2tx/Ti3alc2 Planar Composite at Room Temperature

SSRN

引用

SSRN 2022年

作者： Liu, Zhihua Han, Dan Liu, Lulu Li, Donghui Han, Xiaomei Chen, Yi Liu, Xiaoru Zhuo, Kai Cheng, Yongqiang Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of Technology Taiyuan030024 China

Two-dimensional (2D) transition metal carbides (MXene) have attracted great attention for device applications due to their unique structures and excellent properties, such as high electrical conductivity and abundant functional groups on the surface. However, gas sensors based on Ti3C2Tx MXene have the problems of high detection limit and poor long-term stability. Herein, we report a simple method to prepare Ti3C2Tx/Ti3AlC2 planar composite gas sensing materials using high molar ratio of HCl and LiF with Ti3AlC2 as a framework. The Ti3C2Tx/Ti3AlC2 planar composite gas sensor has a high sensitivity, good selectivity and low detection limit for NH3, which can detect 50 ppb (1.2%) at room temperature (25°C). Furthermore, the gas sensor has good repeatability and long-term stability. After 120 days, the response of the gas sensor to 500 ppb of NH3 fluctuated little due to the Ti3AlC2 as a framework. The superior performances can be attributed to the special heterojunction between Ti3C2Tx and Ti3AlC2 and the high proportion of -O and -OH functional groups on the surface of Ti3C2Tx/Ti3AlC2 composite. This study provides an important reference for the realization of high performance NH3 sensing by Ti3C2Tx. © 2022, The Authors. All rights reserved.

关键词： Chemical detection

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Research on solar-coupled ground-source variable frequency air conditioning system based on trnsys

Research on solar-coupled ground-source variable frequency a...

引用

Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020

作者： Deng, Yiming Wang, Zhigang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology

ISBN: (纸本)9781713822097

By building a model of an air conditioning system with a solar-coupled ground-source heat pump, the simulation shows that the pump has been running at its maximum load, especially in terms of energy consumption. In order to solve this problem, the variable frequency drive (VFD) pump is adopted. Only the variable frequency of the water pump at the load side and the water pump at the source side has been considered, and the flow rate of the pump is determined according to the load value. The solar side water pump does not adopt frequency conversion to operate at the maximum flow to ensure the maximum utilization of solar energy. When the load side water pump and the source side water pump adopt frequency conversion, this will not only cause a change in flow but also a change in the power consumption of the unit, which will further affect the unit's operating performance. On the other hand, based on the simulation results of the load, the cooling capacity is greater than the heating capacity, which will cause the soil temperature to rise, that is, the soil temperature will be out of balance. Therefore, it is necessary to add a cooling tower to dissipate the temperature of the buried pipe in summer. The total energy consumption of the system is 22,411,541 kW, which is 27% less than the conventional energy consumption. In summer, the COP of the unit is about 6.9, which is 42% higher than the conventional situation. And in winter, the COP is about 4.8, which is 27% higher than the conventional model. © 2020 Geothermal Resources Council. All rights reserved.

关键词： Energy utilization

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Single-shot fast 3D imaging through scattering media using structured illumination

arXiv

引用

arXiv 2021年

作者： Zhai, Aiping Li, Yuancheng Zhao, Wenjing Wang, Dong Key Laboratory of Advanced Transducers and Intelligent Control System Shanxi Province and Ministry of Education College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Conventional approaches for 3D imaging in or through scattering media are usually limited to 2D reconstruction of objects at some discontinuous locations, although the time-consuming iteration, guide-star, or complex system are implemented. How to quickly visualize dynamic 3D objects behind scattering media is still an open issue. Here, by using structured light illumination, we propose a single-shot technique that can quickly acquire continuous 3D surfaces of objects hidden behind the diffuser. The proposed method can realize the 3D imaging of single, multiple, and dynamic targets from the speckled structured light patterns under broad or narrow band light illumination, in which only once calibration of the imaging setup is needed before conducting the imaging. Our approach paves the way to quickly visualize dynamic objects behind scattering media in 3D and multispectral. Copyright © 2021, The Authors. All rights reserved.

关键词： Imaging systems

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Image Segmentation Based on Improved Wavelet Transform

Image Segmentation Based on Improved Wavelet Transform

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Chinese control and Decision Conference, CCDC

作者： Guowu Zhu Lixiang Ma Bingyou Liu Pan Yang College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education Wuhu China Anhui Institute of Information Technology Wuhu China Anhui Dar Intelligent Control System Stock Co. Ltd Wuhu China

In order to preserve the effective information of the image and segment it better, an image segmentation method based on improved wavelet transform is proposed. First, the image is decomposed based on wavelet transform to obtain the horizontal, vertical and diagonal information of the image. Then, the peak and valley points are determined by the decomposed wavelet coefficients, and the segmentation threshold is obtained. Finally, the experimental results show that the improved wavelet transform segmentation method proposed in this paper has better segmentation effect than the traditional segmentation method.

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