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An enhanced algorithm for cell-level anomaly segmentation in photovoltaic solar panels using electroluminescence imaging

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Energy 2025年 331卷

作者： Ruiyao Duan Yongjian Wang Xisong Chen Shihua Li School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing 210096 PR China Institute for Automatic Control and Complex System University of Duisburg–Essen Duisburg 47057 Germany

Electroluminescence imaging is a crucial diagnostic tool for assessing the quality and performance of photovoltaic (PV) modules. However, current research often focuses on defect detection in PV modules, neglecting the need for detailed segmentation at the individual cell level. To address the limitations of existing methods in recognizing complex defects and suppressing background noise, this paper proposes a novel semantic segmentation algorithm (CAAK-Net), capable of identifying anomalies at the cell level of photovoltaic panels. To enhance network performance, CAAK-Net uses K-Net as a baseline and incorporates the Convolutional Block Attention Module (CBAM), Attention Refinement Module (ARM), and Atrous Spatial Pyramid Pooling (ASPP) modules. Experimental results comparing CAAK-Net with mainstream segmentation networks demonstrate its superior segmentation performance, particularly in recognizing defect edges and small-area attached defects. Additionally, we establish a quantitative correlation model between detection errors and PV system efficiency losses, pioneering the translation of pixel-level segmentation accuracy into measurable operational costs, thereby providing an economic assessment framework for industrial PV inspection. Furthermore, the network exhibits a certain degree of robustness in noisy environments, showcasing its segmentation advantages in diverse defect scenarios.

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Asymptotic Theory for Regularized system Identification Part I: Empirical Bayes Hyper-parameter Estimator

arXiv

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arXiv 2022年

作者： Ju, Yue Mu, Biqiang Ljung, Lennart Chen, Tianshi The School of Data Science Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen518172 China Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and System Science Chinese Academy of Sciences Beijing100190 China The Division of Automatic Control Department of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

Regularized techniques, also named as kernel-based techniques, are the major advances in system identification in the last decade. Although many promising results have been achieved, their theoretical analysis is far from complete and there are still many key problems to be solved. One of them is the asymptotic theory, which is about convergence properties of the model estimators as the sample size goes to infinity. The existing related results for regularized system identification are about the almost sure convergence of various hyper-parameter estimators. A common problem of those results is that they do not contain information on the factors that affect the convergence properties of those hyper-parameter estimators, e.g., the regression matrix. In this paper, we tackle problems of this kind for the regularized finite impulse response model estimation with the empirical Bayes (EB) hyper-parameter estimator and filtered white noise input. In order to expose and find those factors, we study the convergence in distribution of the EB hyper-parameter estimator, and the asymptotic distribution of its corresponding model estimator. For illustration, we run Monte Carlo simulations to show the efficacy of our obtained theoretical results. Copyright © 2022, The Authors. All rights reserved.

关键词： Monte Carlo methods

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Propulsion system optimization for the tail-sitter VTOL SUAV

Propulsion system optimization for the tail-sitter VTOL SUAV

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Chinese Automation Congress (CAC)

作者： Wei Tang Yu Cao Yi Liu Yunlong Zhang Beijing Institute of Astronautical System Engineering Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

This study is focus on the optimization of the proprotor propulsion system for an tail-sitter VTOL SUAV. The propulsion should meet the need of vertical taking-off, cruising and transition between hovering and cruising. The propulsion system is necessary for the effective control in flight, especially in transition mode. Based on the tail-sitter VTOL SUAV, the design difficulties are analyzed. And the optimization is built with the consideration of BEMP system matching and two different design points. The flight test proves that the optimized proprotor propulsion system is suitable and effective to control.

关键词： Propulsion Optimization Batteries Brushless DC motors Automotive components Torque Propellers

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Research on fault diagnosis technology based on FD-GT method

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International Journal of Information and Communication Technology 2020年第3期16卷 261-274页

作者： Kang, Weijie Xiao, Jiyang Xiao, Mingqing Tang, Xilang Hu, Bin Automatic Test System Lab Aeronautical Engineering College Air Force Engineering University No. 1 Baling Road Baqiao District Xi'an Shaanxi China Operational Design and Mission Planning Lab Air Traffic Control and Navigation College Air Force Engineering University No. 1 East Changle road Baqiao District Xi'an Shaanxi China Xiangtan Branch China Mobile Communications Corporation Number 1 Dahu road Xiangtan Hunan China

Fault diagnosis can be divided into two main tasks: fault feature extraction and fault data classification. Firstly, aiming at the problem that the fault feature extraction method is not significant, this paper proposes a fault feature extraction method based on fuzzy distance (FD). The initial fuzzy distance calculation method is established by expert knowledge. The key parameters of fuzzy distance are optimised based on DE algorithm combined with historical test data. Secondly, aiming at the problem of low accuracy when classifying fault data, this paper proposes a fault data classification method based on grey target (GT) decision. The fault data classification is realised by calculating the target distance of each fault type with the current input signal set. Finally, the fuzzy distance- grey target (FD-GT) method is verified by an example. The results show that it can achieve more efficient and reliable fault diagnosis. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Failure analysis

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High-Load Titanium Drilling Using an Accurate Robotic Machining system 9th

High-Load Titanium Drilling Using an Accurate Robotic Machin...

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9th IFIP International Precision Assembly Seminar, IPAS 2020

作者： Brownbill, Robert Silk, Philip Whiteside, Peter Hutabarat, Windo Burroughes, Harry Electroimpact UK Ltd. Manor Lane Hawarden DeesideCH5 3ST United Kingdom The Advanced Manufacturing Research Centre - The AMRC University of Sheffield Factory 2050 SheffieldS9 1ZA United Kingdom Department of Automatic Control and System Engineering University of Sheffield Portobello Street SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783030726317

Robotic drilling systems have been used in the manufacture of large aerospace components for a number of years. systems have been developed by several systems integrators in order to accurately drill materials from CFRP to Titanium. These systems, however, have been unable to achieve large diameter holes in Titanium due to reduced structural stiffness and end effector capabilities. Typically, large holes are either drilled using large cartesian CNC-controlled machines or drilled using automated drilling units (ADU). However, there is a pull from aerospace OEMS to move away from large monolithic machines, in favour of flexible robotic system. Flexible robotic systems provide a number of benefits for large structure assembly. The following report primarily outlines drilling trials conducted on the Accurate Robotic Machining system, during which holes from 25 mm to 32 mm ID were drilled in titanium implementing an empirical test schedule. Additionally, a discussion on the benefits of drilling large diameter holes using flexible robotic platforms. © 2021, The Author(s).

关键词： Titanium

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Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation

arXiv

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arXiv 2021年

作者： He, Zhiyu He, Jianping Chen, Cailian Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Automatic Control Laboratory ETH Zürich Zürich8092 Switzerland

There has been work that exploits polynomial approximation to solve distributed nonconvex optimization problems involving univariate objectives. This idea facilitates arbitrarily precise global optimization without requiring local evaluations of gradients at every iteration. Nonetheless, there remains a gap between existing guarantees and practical requirements, e.g., privacy preservation and robustness to network imperfections. To fill this gap and keep the above strengths, we propose a Private and Robust Chebyshev-Proxy-based distributed Optimization Algorithm (PR-CPOA). Specifically, to ensure both the accuracy of solutions and the privacy of local objectives, we design a new privacy-preserving mechanism. This mechanism leverages the randomness in blockwise insertions of perturbed vector states and hence provides a stronger privacy guarantee in the scope of (α, β)-data-privacy. Furthermore, to gain robustness against network imperfections, we use the push-sum consensus protocol as a backbone and discuss its specific enhancements. Thanks to the purely consensus-type iterations, we avoid the privacy-accuracy trade-off and the bother of selecting proper step sizes in different settings. We rigorously analyze the accuracy, privacy, and complexity of the proposed algorithm. We show that the advantages brought by introducing polynomial approximation are maintained when all the above requirements exist. © 2021, CC BY-NC-SA.

关键词： Polynomial approximation

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A preliminary analysis of gait performance of patients with multiple sclerosis using a sensorized crutch tip

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IFAC-PapersOnLine 2020年第2期53卷 16462-16467页

作者： Iñigo Sesar Asier Zubizarreta Itziar Cabanes Asier Brull Jon Torres-Unda Ana Rodriguez-Larrad Department of System Engineering and Automatic Control University of the Basque Country (UPV/EHU) Bilbao Spain Department of Physiology University of the Basque Country(UPV/EHU) Leioa Spain

The quality of life and functional mobility of patients with Multiple Sclerosis (MS) can significantly improve with exercise and a rehabilitation therapy adjusted to the needs of each patient. The assessment of gait and functional mobility of patients with MS is usually done based on clinical scales and tests, which have various limitations. This work presents the preliminary results of a clinical study carried out with patients with MS walking with a sensorized crutch tip. This tip allows to define new indicators that can be correlated with the clinical assessment scales and provide further objective and quantitative information to assess gait performance and level of impairment of patients with MS, and characterize their gait patterns. The results suggest that parameters such as the average cycle time and the average percentage of body weight might be useful to evaluate the gait performance and level of disability. Moreover, parameters related with the pitch angle of the crutch allow to determine crutch usage patterns and spot differences between patients with similar functional performance.

关键词： Inertial sensors sensor fusion sensorized crutch tip wearable sensors gait analysis multiple sclerosis

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Design and implementation of SOPC partial reconfigurable Dual-core flight 14

Design and implementation of SOPC partial reconfigurable Dua...

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14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019

作者： Ran, Tao Kun, Tian Yue, Luo Yingqi, Chai Zhaolei, Wang Hui, Li Beijing Aerospace Automatic Control Research Institute China Beijing Inst. of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9781728105093

Traditional flight control systems adopt CPU mode, which is expensive, power-consuming and limited to thermal redundancy switching. To overcome this shortcoming, a reconfigurable dual-core parallel computing flight control system based on SOPC technology is proposed, which has the characteristics of high reliability, low power consumption and miniaturization. Dual-core parallel processing is used. In order to improve the efficiency of operation and processing of flight control system, dynamic reconfigurable technology based on SOPC is used to realize cold backup and data recovery in failure mode of flight control system. In this paper, the architecture, hardware platform, reconfigurable design and hardware-software co-design method of the system are described in detail. Finally, the method of data interaction between two cores and the reconfiguration strategy are given. © 2019 IEEE.

关键词： Flight control systems

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PoCET: a Polynomial Chaos Expansion Toolbox for Matlab

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IFAC-PapersOnLine 2020年第2期53卷 7256-7261页

作者： Felix Petzke Ali Mesbah Stefan Streif Automatic Control & System Dynamics Lab at Technische Universität Chemnitz Faculty for Electrical Engineering and Information Technology Chemnitz Germany Department of Chemical and Biomolecular Engineering University of California Berkeley CA USA

We introduce PoCET: a free and open-scource Polynomial Chaos Expansion Toolbox for Matlab, featuring the automatic generation of polynomial chaos expansion (PCE) for linear and nonlinear dynamic systems with time-invariant stochastic parameters or initial conditions, as well as several simulation tools. It offers a built-in handling of Gaussian, uniform, and beta probability density functions, projection and collocation-based calculation of PCE coefficients, and the calculation of stochastic moments from a PCE. Efficient algorithms for the calculation of the involved integrals have been designed in order to increase its applicability. PoCET comes with a variety of introductory and instructive examples. Throughout the paper we show how to perform a polynomial chaos expansion on a simple ordinary differential equation using PoCET, as well as how it can be used to solve the more complex task of optimal experimental design.

关键词： polynomial chaos simulation tools optimal experiment design optimal control

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A Data Driven Condition Monitoring of Chain Type Structures by Using Nonlinear Frequency Analyses 2

A Data Driven Condition Monitoring of Chain Type Structures ...

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2nd International Conference on Industrial Artificial Intelligence, IAI 2020

作者： Gao, Yi Luo, Zhong Zhu, Yunpeng Qiu, Yue Li, Yuqi Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Northeastern University Shenyang110819 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian116024 China University of Sheffield Department of Automatic Control and System Engineering SheffieldS13JD United Kingdom

ISBN: (纸本)9781728182162

A novel data driven condition monitoring approach is proposed in this study to detect the location of nonlinear faults in chain type structures. In this approach, the chain type system is characterized by representing the relationships between any two adjacent measurement points by NARX (Nonlinear Auto-Regressive with Exogenous Inputs) model. A new indicator for condition monitoring, known as the NET (Nonlinear Energy Transmission) indicator, is introduced based on the evaluation of the NRSFs (Nonlinear Response Spectrum Functions) of the chain type system. A 3 DOF system is employed to demonstrate the application of the data driven condition monitoring by using the NET indicator. A case study on the condition monitoring of a rotor-bearing system is then discussed to validate the advantage of the proposed approach in engineering practice. © 2020 IEEE.

关键词： Condition monitoring

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