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Full-Text Articles in Engineering

Significance Of Project Management In Ecologically Sensitive Urban Development Projects, Raghav Chawla, Aishwarya Joshi, Lulwa Khaleel Apr 2023

Significance Of Project Management In Ecologically Sensitive Urban Development Projects, Raghav Chawla, Aishwarya Joshi, Lulwa Khaleel

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Improving Intersection Safety With Geographically-Targeted Crash Prediction Models In Utah, Atul Subedi Apr 2023

Improving Intersection Safety With Geographically-Targeted Crash Prediction Models In Utah, Atul Subedi

Student Research Symposium

This project aims to improve intersection safety in Utah by developing geographically-targeted crash prediction models. The lack of research investigating active mode crashes at signalized intersections in different geographical regions calls for this study. The objective of this research is to understand the factors associated with the frequency of active mode crashes at signalized intersections. Exposure variables such as AADT, pedestrian and bicycle volumes, and intersection-level variables such as crossing distance, speed limit, and presence of street lights were analyzed using a negative binomial regression model.

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Energy Storage Can Increase The Value And Flexibility Of A Nuclear Power Plant But Makes Plant Economics More Subject To Uncertainty In Electricity Price, Jacob Bryan Apr 2023

Energy Storage Can Increase The Value And Flexibility Of A Nuclear Power Plant But Makes Plant Economics More Subject To Uncertainty In Electricity Price, Jacob Bryan

Student Research Symposium

Regional electricity markets currently rely heavily on coal and natural gas resources to meet electricity demand. Intermittent renewable resources like wind and solar power are location-dependent and are not dispatchable resources. Flexible nuclear power, achieved through the use of integrated thermal energy storage, may be able to complement these renewable resources to provide clean, predictable power in an evolving electricity grid. This study considers such a flexible nuclear plant and seeks to address a fundamental modeling question: which uncertain model inputs have a significant effect on the economics of the system, and to what degree? These questions are addressed by …

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The Pragmatic Role Of Artificial Intelligence In Digitalizing Dentistry, Josh Jaison, Rupanjan Roy Apr 2023

The Pragmatic Role Of Artificial Intelligence In Digitalizing Dentistry, Josh Jaison, Rupanjan Roy

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Renewable Resources Based Optimal Scheduling Of A Virtual Power Plant In A Multi-Objective Framework, Anubhav Kumar Pandey, Vinay Kumar Jadoun, Jayalakshmi N. S Apr 2023

Renewable Resources Based Optimal Scheduling Of A Virtual Power Plant In A Multi-Objective Framework, Anubhav Kumar Pandey, Vinay Kumar Jadoun, Jayalakshmi N. S

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Mobile Phones, Cervical Posture, And Developmental Malocclusions: Are They Preventable?, Sree Mayukha Adusumilli, Karuna Y. M Apr 2023

Mobile Phones, Cervical Posture, And Developmental Malocclusions: Are They Preventable?, Sree Mayukha Adusumilli, Karuna Y. M

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Data-Shift Detection For Reliable And Trustworthy Machine Learning, Akshat Jaggi, Sanjay Singh Apr 2023

Data-Shift Detection For Reliable And Trustworthy Machine Learning, Akshat Jaggi, Sanjay Singh

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Analyzing The Impact Of Placement And Sizing Of Electric Vehicle Charging Station In A Grid Integrated Microgrid, Nandini K. K, Jayalakshmi N. S, Vinay Kumar Jadoun Apr 2023

Analyzing The Impact Of Placement And Sizing Of Electric Vehicle Charging Station In A Grid Integrated Microgrid, Nandini K. K, Jayalakshmi N. S, Vinay Kumar Jadoun

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Computer-Assisted Surgical Model For Oral And Maxillofacial Surgery Using Virtual Reality, Shreenidhi H. Bhat, Hareesha K. S, Abhay T. Kamath, Adarsh Kudva Apr 2023

Computer-Assisted Surgical Model For Oral And Maxillofacial Surgery Using Virtual Reality, Shreenidhi H. Bhat, Hareesha K. S, Abhay T. Kamath, Adarsh Kudva

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Matlab Algorithms To Fpga Based Architecture Mapping And Performance Verification, Harish Bhat N, Shreesha Chokkadi, Satish Shenoy B Apr 2023

Matlab Algorithms To Fpga Based Architecture Mapping And Performance Verification, Harish Bhat N, Shreesha Chokkadi, Satish Shenoy B

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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A Critical Review On Ultrasound-Assisted Oil-In-Water Emulsification: Insights Into The Formation, Stabilities Of Emulsion And Limitations, Mahima Ganguly, Devangshi Debraj, Jitendra Carpenter Apr 2023

A Critical Review On Ultrasound-Assisted Oil-In-Water Emulsification: Insights Into The Formation, Stabilities Of Emulsion And Limitations, Mahima Ganguly, Devangshi Debraj, Jitendra Carpenter

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

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Dynamic Target Assignment Of Multiple Unmanned Aerial Vehicles Based On Clustering Of Network Nodes, Tuo Zhao, Hanqiang Deng, Jialong Gao, Jian Huang Apr 2023

Dynamic Target Assignment Of Multiple Unmanned Aerial Vehicles Based On Clustering Of Network Nodes, Tuo Zhao, Hanqiang Deng, Jialong Gao, Jian Huang

Journal of System Simulation

Abstract: In order to solve the problem that the distributed multi-UAV target assignment algorithm is prone to communication redundancy, which leads to the large communication scale of formation, a multi-UAV dynamic target assignment algorithm (CU-CBBA) based on node clustering in communication network is proposed.The algorithm introduces the communication network node grouping clustering strategy. According to the node's degree centrality, feature vector centrality, intermediate centrality and other attributes, the network node importance ranking model is established. A group of key nodes in the network topology structure are selected and the network topology node clustering is completed according to the shortest …

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Research On Modeling And Scheduling Of Virtual Power Plant With Dual Demand Response, Qiang Chen, Yi Wang, Kangshun Li Apr 2023

Research On Modeling And Scheduling Of Virtual Power Plant With Dual Demand Response, Qiang Chen, Yi Wang, Kangshun Li

Journal of System Simulation

Abstract: Virtual power plant technology provides an effective means to aggregate distributed power and user side resources to participate in power scheduling. Most of the existing research focus on the scheduling optimization of distributed energy instead of the demand response of user side. The user side resources are divided into contracted reliable response load and non-contracted random response load, and the load response is regulated through price adjustment mechanism to adapt to the change of distributed. A virtual power plant optimal scheduling model with dual demands response is constructed, in which the maximizing overall profit of the power grid is …

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Voltage And Reactive Power Combinational Evaluation Of Regional Power Grid Based On Ewm-Ahp-Bp Neural Network, Yuqi Ji, Huan Xie, Shaoyu Shi, Ping He, Nan Jin, Huili Wang Apr 2023

Voltage And Reactive Power Combinational Evaluation Of Regional Power Grid Based On Ewm-Ahp-Bp Neural Network, Yuqi Ji, Huan Xie, Shaoyu Shi, Ping He, Nan Jin, Huili Wang

Journal of System Simulation

Abstract: In order to quantitatively evaluate the influence of renewable energy access on voltage and reactive power operation, a combinational evaluation method of voltage and reactive power based on EWM-AHP-BP neural network is proposed to carry out the multi-objective evaluation weight calculation. Considering voltage qualified rate, voltage fluctuation, power factor qualified rate and reactive power reserve, the comprehensive evaluation model is established. The operation data of renewable energy and power load are clustered to divide the typical scenarios and the evaluation model under multiple scenarios is scored by the combination method of entropy weight method and analytic hierarchy process. The …

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A High-Strength Precipitation Hardened Cobalt-Free High-Entropy Alloy, Matthew Luebbe, Jiaqi Duan, Fan Zhang, Jonathan Poplawsky, Hans Pommeranke, Maalavan Arivu, Andrew Hoffman, Mario F. Buchely, Haiming Wen Apr 2023

A High-Strength Precipitation Hardened Cobalt-Free High-Entropy Alloy, Matthew Luebbe, Jiaqi Duan, Fan Zhang, Jonathan Poplawsky, Hans Pommeranke, Maalavan Arivu, Andrew Hoffman, Mario F. Buchely, Haiming Wen

Materials Science and Engineering Faculty Research & Creative Works

Recent Studies on Precipitation-Hardened High-Entropy Alloys (HEAs) Demonstrate their High Strength and Thermal Stability, Making Them Promising Materials for High-Temperature Structural Applications Such as Nuclear Reactors. However, Many Existing HEAs Contain Cobalt (Co), Which is Unsuitable for Nuclear Applications Because of the Long-Term Activation Issue of Co. Co is Also Expensive and Considered a Critical Material for Other Applications. Therefore, It is Desired to Exclude Co from the Composition. a Co-Free (Fe0.3Ni0.3Mn0.3Cr0.1)88Ti4Al8 HEA Was Developed and Studied in This Work. in Contrast to Previous Co-Free HEAs, This Alloy is …

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Cross-Domain Text Sentiment Classification Based On Auxiliary Classification Networks, Na Ma, Tingxin Wen, Xu Jia, Xiaohui Li Apr 2023

Cross-Domain Text Sentiment Classification Based On Auxiliary Classification Networks, Na Ma, Tingxin Wen, Xu Jia, Xiaohui Li

Journal of System Simulation

Abstract: To align exactly the texts with same sentiment polarities of source and target domains, and to enlarge the feature difference of different sentiment texts as much as possible, a domain adaptation model with weighted adversarial networks is proposed. A new structured classification network consisting of a main classification network and an auxiliary classification network is proposed, in which the main classification network is used to perform supervised learning on the labeled texts of the source domain, and the auxiliary classification network is used to improve the distinguishability of the text features. A calculation method of multiple adversarial network weights …

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Research On Unmanned Swarm Combat System Adaptive Evolution Model Simulation, Zhiqiang Li, Yuanlong Li, Laixiang Yin, Xiangping Ma Apr 2023

Research On Unmanned Swarm Combat System Adaptive Evolution Model Simulation, Zhiqiang Li, Yuanlong Li, Laixiang Yin, Xiangping Ma

Journal of System Simulation

Abstract: Aiming at the fact that the intelligent unmanned swarm combat system is mainly composed of large-scale combat individuals with limited behavioral capabilities and has limited ability to adapt to the changes of battlefield environment and combat opponents, a learning evolution method combining genetic algorithm and reinforcement learning is proposed to construct an individual-based unmanned bee colony combat system evolution model. To improve the adaptive evolution efficiency of bee colony combat system, an improved genetic algorithm is proposed to improve the learning and evolution speed of bee colony individuals by using individual-specific mutation optimization strategy. Simulation experiment on …

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Trajectory Control Of Crawler Robot Based On Lstm And Smc, Dongyang Liu, Wenwen Zha, Liang Tao, Cheng Zhu, Lichuan Gu, Jun Jiao Apr 2023

Trajectory Control Of Crawler Robot Based On Lstm And Smc, Dongyang Liu, Wenwen Zha, Liang Tao, Cheng Zhu, Lichuan Gu, Jun Jiao

Journal of System Simulation

Abstract: Trajectory tracking is an important part of mobile robot control technology and possesses prospect. Highly nonlinear dynamic characteristics are the main obstacles of controller design. A SMC method based on LSTM and quasi-sliding mode is proposed. The kinematics model and dynamics model of the tracked vehicle are given, and the sliding mode control system is established based on the dynamics model. LSTM network based on deep learning method is designed to control and compensate the unknown interference items, reduce the influence of external interference, and reduce the tremor phenomenon by combining the advantages of LSTM network and quasi-sliding …

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Knowledge Graph-Based Process Knowledge Reasoning Method For Intelligent Production System, Weikai Yang, Yan Wang, Zhicheng Ji Apr 2023

Knowledge Graph-Based Process Knowledge Reasoning Method For Intelligent Production System, Weikai Yang, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the disadvantages of high redundancy and weakness between knowledge and data in intelligent production system, and the difficulty to perform knowledge reasoning, a process knowledge reasoning method for knowledge maps is proposed. The input information is semantically labeled and classified, the characteristics of the information match are extracted, the extracted local feature and global feature are associated through graph convolution method, and the feature of the difference value information is integrated and mapped with the constructed knowledge graph. Different reasoning rules are used according to different reasoning types, and the association and topology information between instances are …

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Multi-Agent Cooperative Combat Simulation In Naval Battlefield With Reinforcement Learning, Ding Shi, Xuefeng Yan, Lina Gong, Jingxuan Zhang, Donghai Guan, Mingqiang Wei Apr 2023

Multi-Agent Cooperative Combat Simulation In Naval Battlefield With Reinforcement Learning, Ding Shi, Xuefeng Yan, Lina Gong, Jingxuan Zhang, Donghai Guan, Mingqiang Wei

Journal of System Simulation

Abstract: Due to the rapidly-changed situations of future naval battlefields, it is urgent to realize the high-quality combat simulation in naval battlefields based on artificial intelligence to comprehensively optimize and improve the combat effectiveness of our army and defeat the enemy. The collaboration of combat units is the key point and how to realize the balanced decision-making among multiple agents is the first task. Based on decoupling priority experience replay mechanism and attention mechanism, a multi-agent reinforcement learning-based cooperative combat simulation (MARL-CCSA) network is proposed. Based on the expert experience, a multi-scale reward function is designed, on which a naval …

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I-Nicemo Enhanced Algorithm Based On Intersection Angel Geometry, Yifan He, Yulin He, Yongda Cai, Zhexue Huang Apr 2023

I-Nicemo Enhanced Algorithm Based On Intersection Angel Geometry, Yifan He, Yulin He, Yongda Cai, Zhexue Huang

Journal of System Simulation

Abstract: To exactly determine the number of cluster centers and correctly identify the candidate cluster centers, an I-niceMO enhanced(I-niceMOEn) algorithm based on intersection angel geometry is proposed. As many distributions of intersection angles and distances as possible between observation points and data points are utilized to recognize the candidate cluster centers to avoid the neglection of cluster centers. The spectral clustering algorithm is used to automatically merge the candidate cluster centers according to the eigenvalues of Laplacian matrices. The number of final cluster centers is determined by the number of merged candidate cluster centers. The number of clusters can be …

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Bottleneck Drift Fluctuation Analysis Of Discrete Remanufacturing System Under Disturbance, Yongzhang Zhou, Yan Wang, Zhicheng Ji Apr 2023

Bottleneck Drift Fluctuation Analysis Of Discrete Remanufacturing System Under Disturbance, Yongzhang Zhou, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Considering comprehensively the influence of each production process on the bottleneck degree of discrete remanufacturing system, the interval bottleneck index matrix is established by collecting data repeatedly in the observation stage to obtain the comprehensive bottleneck index of equipment, which is used as the identification basis. Aiming at the volatility of bottleneck drift in the uncertain environment of discrete remanufacturing system, based on the interval bottleneck index matrix and comprehensive bottleneck index, a theoretical method of visual dynamic analysis including system sensitivity coefficient, machine sensitivity coefficient and bottleneck drift judgment model is established. The discrete event simulation case is …

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Shared Subnet Synthesis And Application Of Object-Oriented Pres Net, Chuanliang Xia, Maibo Guo, Zhuangzhuang Wang, Yan Sun Apr 2023

Shared Subnet Synthesis And Application Of Object-Oriented Pres Net, Chuanliang Xia, Maibo Guo, Zhuangzhuang Wang, Yan Sun

Journal of System Simulation

Abstract: Focus on embedded system modeling, a solution to obtain a synthesized net via the shared subnet of an extended Petri net is proposed. Object-oriented technology and Petri net-based representation for embedded system (PRES net) are merged to obtain an object-oriented PRES net (OOPRES net). A method of synthesized operation of the shared subnet of OOPRES net is proposed, and the preservation of the liveness and boundedness of synthesized net system is studied. Taking the modeling analysis of intelligent transportation system as an example, the effectiveness of the synthesized method is verified. The method can provide an effective way for …

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Atmospheric Corrosion Simulation Of Air Conditioning Heat Exchanger In Service Under Marine Environment, Huang Peng, Jun Wang, Li Qi, Zhidong Wu Apr 2023

Atmospheric Corrosion Simulation Of Air Conditioning Heat Exchanger In Service Under Marine Environment, Huang Peng, Jun Wang, Li Qi, Zhidong Wu

Journal of System Simulation

Abstract: Aiming at the performance degradation of airconditioner heat exchanger caused by serious corrosion under marine environment, an atmospheric corrosion simulation method is studied to analyze and predict the influence on corrosion conditions of marine environment and working condition of air conditioner heat exchanger. From the acquisition of material parameters, the construction the model and the setting of boundary conditions, the atmospheric corrosion simulation process of air conditioner heat exchanger in service under marine environment is systematically introduced, and a method to verify the accuracy of the simulation model by using an artificially accelerated environmental test chamber is provided. From …

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On The Performance Enhancement Of Beamspace Mimo And Non-Orthogonal Multiple Access For Future Cellular Networks, Sinasi Cetinkaya Apr 2023

On The Performance Enhancement Of Beamspace Mimo And Non-Orthogonal Multiple Access For Future Cellular Networks, Sinasi Cetinkaya

USF Tampa Graduate Theses and Dissertations

The ever-growing demand for higher data rates and greater data capacity at lower cost has led the mobile cellular industry to investigate new physical layer techniques and possible utilization of unused spectrums at higher frequencies for next-generation cellular networks. Thus, exploitation of the millimeter-wave (mmWave) spectrum and non-orthogonal multiple-access (NOMA) have been envisioned as the most promising enablers in meeting capacity demand. Due to the smaller wavelengths offered in mmWave frequencies, it is possible to deploy many antennas into a relatively smaller physical space in mmWave frequencies. This property leads to a promising integration between mmWave and massive multiple-input multiple-output …

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Murine Hearing Abr/Dpoae Assessments In Cmv-Infected Mouse Pups Receiving Peritoneal Antivirals Of Gcv, Quercetin+P188, Or A Combination. Controls Include Infected And Untreated And Non-Infected And Treated. Second Dataset Of Antiviral Assay In A Murine Stria Vascularis (Sv) Monolayer Cell Culture, David Britt, Albert Park Apr 2023

Murine Hearing Abr/Dpoae Assessments In Cmv-Infected Mouse Pups Receiving Peritoneal Antivirals Of Gcv, Quercetin+P188, Or A Combination. Controls Include Infected And Untreated And Non-Infected And Treated. Second Dataset Of Antiviral Assay In A Murine Stria Vascularis (Sv) Monolayer Cell Culture, David Britt, Albert Park

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Ganciclovir (GCV) has been shown to be an effective antiviral for the treatment of congenital cytomegalovirus (cCMV) induced sensorineural hearing loss. However, dose-dependent adverse effects (e.g. neutropenia) require strict, burdensome monitoring, limiting GCV use in some patients. Quercetin is a flavonoid with antioxidant properties that has demonstrated antiviral therapy against CMV. Although more benign than GCV, quercetin has limited therapeutic value due to its poor solubility. We previously reported that GCV improves hearing thresholds in a murine model of cCMV. We also noted that solubilizing quercetin with poloxamer 188 (P188) and combining with GCV therapy amplified CMV inhibition in murine …

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Research Progress Of Opponent Modeling Based On Deep Reinforcement Learning, Haotian Xu, Long Qin, Junjie Zeng, Yue Hu, Qi Zhang Apr 2023

Research Progress Of Opponent Modeling Based On Deep Reinforcement Learning, Haotian Xu, Long Qin, Junjie Zeng, Yue Hu, Qi Zhang

Journal of System Simulation

Abstract: Deep reinforcement learning is an agent modeling method with both deep learning feature extraction ability and reinforcement learning sequence decision-making ability, which can make up for the depleted non-stationary adaptation, complex feature selection and insufficient state-space representation ability of traditional opponent modeling. The deep reinforcement learning-based opponent modeling methods are divided into two categories, explicit modeling and implicit modeling, and the corresponding theories, models, algorithms and applicable scenarios are sorted out according to the categories. The applications of deep reinforcement learning-based opponent modeling techniques on different fields are introduced. The key problems and future development are summarized to provide …

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Adaptive Correction Tracking Algorithm Based On Detector And Locator Fusion, Yecai Guo, Cheng Liu Apr 2023

Adaptive Correction Tracking Algorithm Based On Detector And Locator Fusion, Yecai Guo, Cheng Liu

Journal of System Simulation

Abstract: In order to avoid tracking failure caused by occlusion, rotation and other factors in complex dynamic scenes, an adaptive correction tracking algorithm based on detector and locator fusion is proposed. The locator trains a convolutional neural network (CNN) filter for location estimation by extracting the deep features of target. The CNN filter adds two layers of shallow features to the three layers of the convolution features of original CF2 algorithm, which enhances the extraction of target texture information. The detector calculates the confidence score by extracting histogram of oriented gradient(HOG) feature of target and combining the context information. …

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Dual Resource Constrained Flexible Job Shop Energy-Saving Scheduling Considering Delivery Time, Hongliang Zhang, Jingru Xu, Bo Tan, Gongjie Xu Apr 2023

Dual Resource Constrained Flexible Job Shop Energy-Saving Scheduling Considering Delivery Time, Hongliang Zhang, Jingru Xu, Bo Tan, Gongjie Xu

Journal of System Simulation

Abstract: To handle the flexible job shop energy-saving scheduling with machines and workers constraints, on the considering of delivery time, the optimization model of dual resource constrained flexible job shop energy-saving scheduling is established with the goal of minimizing the total earliness and tardiness penalties, and total energy consumption. An improved non-dominated sorting genetic algorithm II(INSGA-II) is proposed. Aiming at the optimized objectives, a three-stage decoding method is designed to gain more feasible solutions. The dynamic adaptive crossover and mutation operators are applied to get more excellent individuals. The crowding distance is improved to obtain a population with better …

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Dynamics Modeling And Online Prediction Of Energy Consumption Of Discrete Manufacturing System, Wei Chen, Yan Wang, Zhicheng Ji Apr 2023

Dynamics Modeling And Online Prediction Of Energy Consumption Of Discrete Manufacturing System, Wei Chen, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the traditional energy consumption modeling methods of discrete manufacturing system being difficult to adapt to the complexity and variability of working conditions, an online dynamic energy consumption modeling method based on real-time data is proposed. The energy consumption affecting factors are determined by analyzing the operation mechanism of the discrete manufacturing system and equipment. An online sequential extreme learning machine algorithm that can dynamically adjust the number of hidden layer nodes is proposed to construct the energy consumption model. The real-time data can update the model quickly. Bernstein's inequality is introduced to improve the model data screening …

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