检索结果-内蒙古大学图书馆

An aero-engine remaining useful life prediction model based on clustering analysis and the improved GRU-TCN

MEASUREMENT SCIENCE AND TECHNOLOGY 2025年第1期36卷 016001-016001页

作者： Chen, Fudan Yu, Yang Li, Yuanjiang Jiangsu Univ Technol Coll Mech Engn Changzhou 213000 Peoples R China Jiangsu Univ Sci & Technol Sch Oceanog Mengxi Rd Zhenjiang Peoples R China

Accurately predicting the remaining useful life (RUL) of engines is paramount for implementing effective preventive maintenance strategies, preventing injuries and fatalities caused by equipment failures, and significantly reducing routine repair and replacement costs. However, existing deep learning models often ignore the variable operating conditions in real engineering applications and do not sufficiently consider the interaction between time series and degradation laws, which directly leads to the inability to effectively extract to degradation feature extraction. To address this problem, this study developed a novel combined network model named CA-DRGRU-TTCN, aimed at accurately predicting the RUL of engines. Firstly, a density-based spatial clustering of applications with noise algorithm is used to identify multiple operating conditions, and incorporate the recognition results into the model as additional new features. The first degradation time point is determined by Jensen-Shannon divergence. Secondly, the deep connectivity of the residual gated recurrent unit (GRU) module is designed to extract deeper degradation features, and an improved time-based mean square error loss function based on the first degradation time point is applied to temporal convolutional networks (TCN) to better capture the dependency between the time series and the real degradation degree of the engine. Finally, experiment results on the C-MAPSS dataset show that the proposed method achieves better performance compared to existing state-of-the-art methods.

关键词： remaining useful life prediction (RUL) dbscan algorithm JS divergence gated recurrent network (GRU) temporal convolutional networks (TCN)

来源：评论

学校读者我要写书评

暂无评论

Research on Bidirectional Matching algorithm of Variable Threshold SIFT Based on dbscan

引用

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 2020年第5期53卷 222-228页

作者： Liu, Xue-jun Yuan, Bi-xian Wei, Yu-chen Yan, Yong Liu, Yong-xu Yang, Qi-si Qin, Jiao-jiao Beijing Inst Petrochem Technol 19 Qingyuan N Rd Beijing 102617 Peoples R China Beijing Univ Chem Technol North Third Ring Rd 15 Beijing 100029 Peoples R China

The safe distance measurement of stacking in hazardous chemicals warehouses is an important factor to ensure the safety of hazardous chemicals storage. Binocular vision distance measurement is a very promising technology. Aiming at the key problems in that feature points matching in distance measurement is easily affected by illumination and feature similarity, and based on the degree of density, the Density-Based Spatial Clustering of Applications with Noise (dbscan) clustering algorithm is proposed to realize Scale-invariant feature transform (SIFT) matching algorithm of variable thresholds in different regions of the image, and then adaptive neighborhood and bidirectional matching algorithms are used to further eliminate the mismatch points. The experimental results show that the matching rate of binocular distance measurement in hazardous chemicals warehouse is 68% and the accuracy of feature points is 98%.

关键词： Stacking Storage SIFT Detection algorithm dbscan algorithm Adaptive Neighborhood algorithm Bidirectional Matching

来源：评论

学校读者我要写书评

暂无评论

Study on the mining based on the improved dbscan algorithm in pick-up hotspots areas

Study on the mining based on the improved DBSCAN algorithm i...

引用

2015 2nd International Workshop on Materials Engineering and Computer Sciences(IWMECS 2015)

作者： Zhipu Tang Xiaodong Wang Hao Liu Xiaowen Wang Zhiqiang Wei College of Information Science and Engineering Ocean University of China

The main business model of taxies called "Roadside Beckon" adopted widely is inefficientPassengers and drivers are ignorant of the location information of each otherThe rise of various types of taxi Apps also have made an effort to solve the problem of "difficult to take a taxi"However, these methods have not fundamentally gotten rid of the taxi status of "passive waiting for passengers"Therefore, this paper proposes a taxi cruise path recommendation method based on pick-up hotspots areasThe method can recommend a cruise path with short distance and high pick-up rate for taxisAs a result, it solves the problem of "passive waiting" and aimless random roaming for guests, balance the relationship between taxis and passengers.

关键词： pick-up hotspots route recommendation dbscan algorithm clustering

来源：评论

学校读者我要写书评

暂无评论

From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account

引用

BUILDINGS 2025年第7期15卷 1182-1182页

作者： Shen, Tao Kong, Fulu Yuan, Shuai Wang, Xueying Sun, Di Ren, Zongshuo Beijing Univ Civil Engn & Architecture Sch Geomatics & Urban Spatial Informat Beijing 100044 Peoples R China China Acad Railway Sci Inst Comp Technol Beijing 100081 Peoples R China

The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses the vertical heterogeneity and spatial multiscale problem in three-dimensional urban space and proposes an adaptive framework that takes into account building height for multiscale clustering in urban areas. Firstly, we established a macro-, meso- and micro-level analysis system for the characteristics of urban spatial structures. Subsequently, we developed a parameter-adaptive model through a dynamic coupling mechanism of height thresholds and average elevations. Finally, we proposed a density-based clustering method that integrates the multiscale urban analysis with parameter adaptation to distinguish urban spatial features at different scales, thereby achieving multiscale urban regional delineation. The experimental results demonstrate that the proposed clustering framework outperforms traditional density-based and hierarchical clustering algorithms in terms of both the Silhouette Coefficient and the Davies-Bouldin Index, effectively resolving the problem of vertical density variation in urban clustering.

关键词： data-driven urban analysis multiscale spatial clustering urban 3D models dbscan algorithm urban spatial structure

来源：评论

学校读者我要写书评

暂无评论

Integrating automatic order determination with response prediction error minimization for nonlinear subspace identification in structural dynamics

引用

NONLINEAR DYNAMICS 2024年第24期112卷 21881-21900页

作者： Jiang, Dong Li, Ang Wang, Yusheng Xie, Shitao Cao, Zhifu Zhu, Rui Nanjing Forestry Univ Sch Mech & Elect Engn Nanjing 210037 Peoples R China Chongqing Univ Coll Aerosp Engn Chongqing 400044 Peoples R China Tech Univ Munich Sch Engn & Design D-80539 Munich Germany Southeast Univ Inst Aerosp Machinery & Dynam Nanjing 211189 Peoples R China

The singular value decomposition order determination method used in nonlinear subspace identification may encounter challenges due to the noise in signals, resulting in the omission of modes or the occurrence of spurious mode. Additionally, the lack of an iterative process in the nonlinear subspace identification, which primarily relies on matrix operations, will lead to suboptimal solutions. To address these challenges, an improved framework for nonlinear subspaces identification is proposed in this paper. False modes are eliminated through data preprocessing and modal stability criteria, followed by the clustering of stable modes using the Density-Based Spatial Clustering of Applications with Noise algorithm for automatic order determination;Simultaneously, an iterative optimization approach based on response prediction error minimization is introduced to enhance the accuracy of the state-space model estimation results. The effectiveness of proposed method is validated through two simulation cases and one experimental verification. The results show that the clustering algorithm effectively distinguishes real modes from false ones and achieves automatic system order determination across various SNR conditions. The iterative optimization process notably enhances state-space model estimation accuracy. Compared to original nonlinear subspace identification, proposed method significantly improves identification accuracy.

关键词： Nonlinear subspace identification dbscan algorithm Automatic order determination State-space model optimization

来源：评论

学校读者我要写书评

暂无评论

Vulnerability of Regional Aviation Networks Based on dbscan and Complex Networks

引用

Computer Systems Science & Engineering 2022年第11期43卷 643-655页

作者： Hang He Wanggen Liu Zhenhan Zhao Shan Heand Jinghui Zhang Civil Aviation Flight University of China Guanghan618307China Webchain Pty Ltd. SydneyNSW2118Australia

To enhance the accuracy of performance analysis of regional airline network,this study applies complex network theory and Density-Based Spatial Clustering of Applications with Noise(dbscan)algorithm to investigate the topology of regional airline network,constructs node importance index system,and clusters 161 airport nodes of regional airline ***,entropy power method and approximating ideal solution method(TOPSIS)is applied to comprehensively evaluate the importance of airport nodes and complete the classification of nodes and identification of key points;adopt network efficiency,maximum connectivity subgraph and network connectivity as vulnerability measurement indexes,and observe the changes of vulnerability indexes of key nodes under deliberate attacks and 137 nodes under random *** results demonstrate that the decreasing trend of the maximum connectivity subgraph indicator is slower and the decreasing trend of the network efficiency and connectivity indicators is faster when the critical nodes of the regional airline network are deliberately ***,the decreasing trend of the network efficiency indicator is faster and the decreasing trend of the maximum connectivity subgraph indicator is slower when the nodes of four different categories are randomly ***,it is proposed to identify and focus on protecting critical nodes in order to better improve the security level of regional airline system.

关键词： dbscan algorithm regional airlines key node vulnerability

来源：评论

学校读者我要写书评

暂无评论

A New IoT-Driven Coherency Assessment Strategy for Enhancing Power System Stability in Power Grids with Renewable Energy Sources

引用

SMART GRIDS AND SUSTAINABLE ENERGY 2025年第1期10卷 1-14页

作者： Okasha, Aliaa A. Mansour, Diaa-Eldin A. Zaky, Ahmed B. Suehiro, Junya Megahed, Tamer F. Egypt Japan Univ Sci & Technol E JUST Fac Engn Dept Elect Power Engn Alexandria Egypt Aswan Univ Fac Engn Dept Elect Engn Aswan Egypt Tanta Univ Fac Engn Dept Elect Power & Machines Engn Tanta Egypt Egypt Japan Univ Sci & Technol Comp Sci & Informat Technol Programs CSIT Alexandria Egypt Benha Univ Fac Engn Shoubra Banha Egypt Kyushu Univ Fac Informat Sci & Elect Engn Fukuoka Japan Mansoura Univ Fac Engn Elect Engn Dept Mansoura Egypt

Identification of coherent generators (CGs) is crucial for situational awareness of electrical power systems under emergencies. Sudden disturbances, in addition to uncertainties of renewables, can perturb the equilibrium state among synchronous generators, unleashing subsequent electromechanical oscillations. Under this situation, recognizing coherent generators is an essential step for proper control actions to maintain system stability and security. This study proposes an IoT-based strategy for coherency assessment in hybrid power systems. Coherency analysis is performed based on frequency deviation signals from all generating units, including renewables. Phasor measurement units (PMUs) measure the frequency of each generator, and then frequency deviations are calculated locally at edge devices. This step significantly enhances the accuracy of calculations while also reducing the amount of data sent to the cloud, thereby decreasing network latency. Then, Spearman's rank correlation coefficient is adopted to measure the similarity level between all pairs of generators. Finally, the density-based spatial clustering of applications with noise (dbscan) algorithm is adopted to define coherent generators autonomously based on the obtained similarity indices. The proposed approach is tested on the modified IEEE 39-bus system. This study also investigates the impact of integrating renewable energy sources (RESs) on the obtained coherency patterns. All time-domain simulations are performed on the DIgSILENT PowerFactory software connected to the ThingSpeak platform for cloud computing. Simulation results demonstrate the efficiency of the proposed strategy. It also illustrates the potential of coherent generating groups to change due to the insertion of low inertia resources.

关键词： Coherency identification IoT Renewable energy sources Spearman's rank correlation coefficient dbscan algorithm Electromechanical oscillations

来源：评论

学校读者我要写书评

暂无评论

Typed topology and its application to data sets

引用

TOPOLOGY AND ITS APPLICATIONS 2024年 342卷

作者： Hu, Wanjun Albany State Univ Dept Math CS & Phys 504 Coll Dr Albany GA 31705 USA

The concept of typed topology is introduced. In a typed topological space, some open sets are assigned "types", and topological concepts such as closure, connectedness can be defined using types. A finite data set in R2 is a typically typed topological space. Clusters calculated by the dbscan algorithm for data clustering can be well represented in a finite typed topological space. Other concepts such as tracks, port (starting points), type-p-connectedness, p-closure-connectedness, indexing, branches are also introduced for finite typed topological spaces. Finally, left - r and up - left - r type open sets are introduced for finite data sets in R2, so that tracks, port, branches can be calculated.(c) 2023 Elsevier B.V. All rights reserved.

关键词： Typed topology Data mining dbscan algorithm

来源：评论

学校读者我要写书评

暂无评论

Spatiotemporal properties of the 2020-2021 Petrinja (Croatia) earthquake sequence

引用

JOURNAL OF SEISMOLOGY 2024年第4期28卷 899-920页

作者： Sardeli, Eirini Michas, Georgios Pavlou, Kyriaki Zaccagnino, Davide Vallianatos, Filippos Natl & Kapodistrian Univ Athens Dept Geol & Geoenvironm Sect Geophys Geotherm Athens Greece Sapienza Univ Earth Sci Dept Piazzale Aldo Moro 5 I-00185 Rome Italy Hellen Mediterranean Univ Res Inst Phys Earths Interior & Geohazards UNESCO Chair Solid Earth Phys & Geohazards Risk Re Innovat Ctr Khania Greece

The Petrinja earthquake sequence started on December 28, 2020, with a destructive ML 6.2 mainshock occurring in the area, preceded by a ML 5.08 foreshock, following a long period of relative seismic quiescence. Over the first six months of the Petrinja earthquake sequence, almost 14,000 events were recorded. In the present work, we separated seismic events based on their spatial concentration using a density-based clustering algorithm, dbscan. We identified four main clusters and analyzed their spatiotemporal properties using the notions of Non-Extensive Statistical Physics (NESP). This framework, which relies on Tsallis entropy (Sq), describes the scaling behavior of complex systems. In this frame, we investigated the inter-event time (T) and distance (D) distributions, providing the qT and qD entropic parameters, respectively. Additionally, we studied the frequency-magnitude distributions in terms of the fragment-asperity model, leading to the determination of the non-extensive parameter qM. The results of the analysis suggest that the statistical properties of the Petrinja earthquake sequence can be effectively reproduced utilizing NESP. Furthermore, the coseismic static Coulomb stress changes were estimated, indicating that the clusters' seismic events may have resulted from a complex fault system's (re)activation. In addition, the effective static stress drop was estimated for each spatial cluster. Lastly, the temporal patterns of the earthquake evolution are discussed using the superstatistics approach, indicating that the temporal progression of the Petrinja earthquake clusters is governed by a very low number of degrees of freedom, highlighting the spatiotemporal organization of each cluster.

关键词： Petrinja earthquake sequence Tsallis entropy Non-extensive statistical physics dbscan algorithm Complexity

来源：评论

学校读者我要写书评

暂无评论

Applications of QGIS and machine learning for road crash spot identification

引用

EARTH SCIENCE INFORMATICS 2024年第3期17卷 2331-2346页

作者： Pusuluri, Vijaya Lakshmikanthi Dangeti, Mukund Rao Gayatri Vidya Parishad Coll Degree & PG Courses A Civil Engn Dept Engn & Technol Program Visakhapatnam 530045 India GITAM Civil Engn Dept Visakhapatnam 530045 India

Road intersections or linear segments of roads with frequent road crashes are termed as 'blackspots.' There are many blackspot identification methodologies developed and implemented in global cities with varying results. Cross-country adaptability of such methods is limited due to differences in road design parameters, vehicle modal composition, mixed land uses, and varying driver profiles. The United Nations recognizes road crash fatalities as the eighth most significant cause of death, and detecting their occurrence assumes critical prominence. There is an immediate need to find easy-to-adopt, cost-effective strategies that can assist rapidly urbanizing towns in identifying and predicting crash zones. This study considers Visakhapatnam as a study area for black spot identification using Andhra Pradesh Traffic police crash data between 2014 and 2021 and the Weighted Severity Index (WSI). It studies VMRDA Master Plans between 1988 and 2041 for land use changes and visualizes crash spots in QGIS. Machine Learning algorithm dbscan is used to define crash clusters and validate the latitude and longitude of the crash spots. The results have found that fatalities are high in Gajuwaka and P M Palem Police Station Jurisdictions (PSJs). The study identified seven black spots on National Highway 16 in these two areas by their latitude and longitude. It found that the dbscan algorithm is precise and adaptable to analyze the crash spot data. This methodology combining open source QGIS and dbscan algorithm is proven applicable for 'black spot' identification in the entire city and for cities with similar traffic problems. Geographic and road profile variations do not limit the scope of this study. Land use variations and their influence on black spot formation are the future scope of this study.

关键词： Road crashes Land use QGIS Weighted Severity Index dbscan algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：