2022 Prognostics and Health Management Conference (PHM-2022 London)最新文献_第7页

Underwater GMR sensor data storage using RFID tags 水下GMR传感器数据存储采用RFID标签

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00036

N. Sathappan, M. Tokhi, Zhanfang Zhao, Fang-wei Duan, G. Shirkoohi, Liam Penaluna

引用次数: 1

An Modified Earth Mover’s Distance for Few-Shot Image Classification 一种用于少拍图像分类的改进型推土机距离

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00077

Zhiyu Jin, Zhuohe Tang, Jintao Yan

{"title":"An Modified Earth Mover’s Distance for Few-Shot Image Classification","authors":"Zhiyu Jin, Zhuohe Tang, Jintao Yan","doi":"10.1109/PHM2022-London52454.2022.00077","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00077","url":null,"abstract":"The problem of few-shot image classification has become a popular research area in the field of imaging. In order to improve the accuracy of few-shot image classification, many learning methods have been proposed, among which there are four main approaches: meta-based learning, data augmentation-based, migration-based learning and metric-based learning. In this paper, we propose a modified earth mover’s distance (MEMD) based on the metric learning approach, which has received much attention due to its simple structure and accurate classification. Similarly, MEMD constructs correlations between image regions, using such correlations to characterise the class of the image. MEMD generates a stream of best matches between image regions, and this stream of matches represents the similarity of the classified images. the MEMD algorithm requires the generation of feature weights for image regions, and EMD uses a mechanism of cross-referenced citations to generate uniform consultation weights. in contrast to EMD, MEMD generates inconsistent reference weights based on the similarity of regions. In dealing with the K-Shot problem, we used a learnable class prototype to characterise the class feature vectors. We conducted comprehensive experiments to validate our improved MEMD algorithm and tested it on four popular few-shot datasets. Namely: miniImageNet, tieredImageNet, Fewshot-CIFAR100 (FC100) and the CUB dataset.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From the Air to the Ground: An Experimental Approach to Assess LiPo Batteries for a Second Life 从空中到地面:评估锂电池第二寿命的实验方法

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00092

Julio Castro, Carolina Flores, Diego Gonzalez, Vanessa L. Quintero, Aramis Pérez

{"title":"From the Air to the Ground: An Experimental Approach to Assess LiPo Batteries for a Second Life","authors":"Julio Castro, Carolina Flores, Diego Gonzalez, Vanessa L. Quintero, Aramis Pérez","doi":"10.1109/PHM2022-London52454.2022.00092","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00092","url":null,"abstract":"Many are the applications that use energy stored in lithium-ion (Li-ion) batteries to power themselves. Without a doubt this type of energy storage device has changed the way of living. However, a major concern regarding these Li-ion batteries is associated on the way how they should be treated or disposed when they reach their End of Life (EoL). Although, this rises a major consideration which is that perhaps the battery reached its EoL for its original application, but there are still many other applications where these batteries can be utilized. In this regard, developing a series of simple tests to understand how a degraded Li-ion battery can transfer its stored energy for less demanding applications becomes of utmost importance. This paper illustrates how the original battery pack of a drone can be reutilized for second life applications such as a small power bank. An easy procedure is proposed to assess the capability of a degraded cell to transfer energy for other applications where the Li-ion battery is working under less stress.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Pit Detection in Current Monitoring of Control Rod Drive Mechanism Based on Daubechies Wavelet Analysis 基于daubecies小波分析的控制棒驱动机构电流监测中的坑检测

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00103

Dehuai Ou, Guoliang Lu

引用次数: 0

A Relation Prediction Method for Industrial Knowledge Graph with Complex Relations 具有复杂关系的工业知识图关系预测方法

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00015

Jie Liu, Lin Lin, Yancheng Lv, Hao Guo, Chang-sheng Tong, Zhiquan Cui

{"title":"A Relation Prediction Method for Industrial Knowledge Graph with Complex Relations","authors":"Jie Liu, Lin Lin, Yancheng Lv, Hao Guo, Chang-sheng Tong, Zhiquan Cui","doi":"10.1109/PHM2022-London52454.2022.00015","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00015","url":null,"abstract":"In the industrial knowledge graph, relations between entities has important physical significance. In some cases, the relations determines product quality or fault prediction accuracy. Therefore, relation prediction is particularly important. The existing translation models are poor in relation prediction, because the current method of generating incorrect triples cannot generate incorrect triples with incorrect relations. Therefore, this paper develops an incorrect triple generation method by combining uniform distribution and Bernoulli distribution to improve the relation prediction accuracy. Then UBTransH model is developed by combining TransH with the incorrect triples based on uniform distribution and Bernoulli distribution. In the UBTransH, the relation replacement probability and entity replacement probability of the correct triples are first obtained through uniform distribution, then the head entity replacement probability and tail entity replacement probability are calculated with the entity replacement probability and Bernoulli distribution. Second, the incorrect triples are generated by replacing the relation/head entity/tail entity with the relation/head entity/tail entity replacement probability. Third, the incorrect triples are applied to train TransH. Finally, based on relation prediction, the developed UBTransH are compared with TransH on several typical datasets. Experimental results show that the developed UBTransH significantly improves the relation prediction accuracy.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114440142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Survey of Algorithms for Comprehensive Transmission Fault Detection 输电系统综合故障检测算法综述

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00098

Yingshun Li, Wenbo Zhang, Huanhuan Sui, De-biao Wang

引用次数: 0

Intelligent slurry level measurement system of coal mine based on SVM 基于支持向量机的煤矿料浆液位智能测量系统

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00091

Hua Guo, Xuejing Zhang, Wenya Yang, Jinshan Zhuang, Mengjuan Zhu, Le Kong, Qinglin Han, Zhiying Zhang

引用次数: 0

Aero-engine Performance Evaluation Based on Gas Path Parameters and Operating Characteristics 基于气路参数和工作特性的航空发动机性能评价

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00066

Wei-Zhe Jiang, Xu-yun Fu, Keqiang Liu, S. Zhong, Bin Yu, Z. Bai

{"title":"Aero-engine Performance Evaluation Based on Gas Path Parameters and Operating Characteristics","authors":"Wei-Zhe Jiang, Xu-yun Fu, Keqiang Liu, S. Zhong, Bin Yu, Z. Bai","doi":"10.1109/PHM2022-London52454.2022.00066","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00066","url":null,"abstract":"Aero-engine performance evaluation plays an important role in the operation and maintenance management of aviation engines, and it is the basis for formulating aero-engine operation and maintenance plans. To improve the accuracy of aero-engine performance evaluation, we propose to use the principal component analysis evaluation method to study the performance evaluation of the whole aero-engine and the module by combining the operating characteristics of the module, the original value, and the deviation value of the gas path parameters. By decoupling the original value and deviation value of high-dimensional gas path parameters, the direction with the largest performance difference if the module is selected as the principal component. Combined with the operating characteristics of modules to quantify the principal component evaluation indexes, the performance is comprehensively evaluated by using the regression model. To demonstrate the effectiveness of the method, we performed method validation using actual monitoring data from a CFM56-5B engine. The experimental results show that the method can accurately assess the whole engine and module block performance variation of the aero-engine.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127747563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Pedestrian Intrusion Detection in Static Scenes 静态场景下行人入侵检测研究

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00084

Xunlei Chen, Erkang Li, Jun Yu Li, Siqi Yang, Siwen Zhang, Ziyi Wang

{"title":"Research on Pedestrian Intrusion Detection in Static Scenes","authors":"Xunlei Chen, Erkang Li, Jun Yu Li, Siqi Yang, Siwen Zhang, Ziyi Wang","doi":"10.1109/PHM2022-London52454.2022.00084","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00084","url":null,"abstract":"Security system is an important technical means of implementing security prevention and control, and its use in the field of security technology prevention is becoming more and more widespread in the current situation of expanding demand for security. The security systems used now primarily mainly rely on human visual judgment, which demonstrate the lack of intelligent analysis of video content. Static Pedestrian Intrusion Detection (SPID), which determines whether a pedestrian invades a target area in a static scene, is an important vision task in the field of intelligent video surveillance, and has a wide range of applications in scenarios such as intelligent security. To address the problem of static pedestrian intrusion detection data construction, this paper fully investigates the data set and provides sufficient data preparation for the study of this task. This paper proposes a multi-task deep network model based on target detection region segmentation and fast pedestrian detection to achieve accurate pedestrian intrusion determination in static scenes using the powerful nonlinear feature extraction capability of the network. To solve the real-time problem, the model proposes two mobile network optimization strategies, feature sharing and feature cropping, to reduce the computational complexity of the algorithm. Experimental results show that the proposed model achieves 83.1% accuracy and 20.4 FPS detection speed on the static pedestrian intrusion detection datasets, outperforming existing algorithms in terms of both accuracy and speed to achieve end-to-end real-time pedestrian intrusion detection.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130020861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The coupled vibration response analysis of gearbox with a bearing localized defect 含轴承局部缺陷的齿轮箱耦合振动响应分析

2022 Prognostics and Health Management Conference (PHM-2022 London) Pub Date : 2022-05-01 DOI: 10.1109/PHM2022-London52454.2022.00020

Yihao Yu, Juanjuan Shi, Yang Luo, Weiguo Huang, Zhongkui Zhu

{"title":"The coupled vibration response analysis of gearbox with a bearing localized defect","authors":"Yihao Yu, Juanjuan Shi, Yang Luo, Weiguo Huang, Zhongkui Zhu","doi":"10.1109/PHM2022-London52454.2022.00020","DOIUrl":"https://doi.org/10.1109/PHM2022-London52454.2022.00020","url":null,"abstract":"Gearbox plays an essential part in railway vehicles, aero engines, and other rotational machinery. Its health condition is significant for the reliable operation of such rotational machinery. To pave the way for the feature extraction of gearbox for its health condition monitoring, the vibration response of gearbox with defects is mandatory. The existing dynamic models of gearbox are mainly oriented on its individual components. However, in reality, the vibration measured from the gearbox housing usually couples the ones of the rolling bearing rotor (RBR) system, gear meshing and gearbox housing, as well as the effect of the elastohydrodynamic lubrication. Therefore, the dynamic model of individual component cannot reflect the actual vibration behaviour of the gearbox. To address this problem, a systematic model coupled the dynamic model of the gear mesh, pinion rolling bearing rotor (RBR) system, gear RBR system, the time-varying displacement excitation caused by a localized defect (LOD), and the effect of the elastohydrodynamic (EHD) lubrication has been established to predict the vibration response of gearbox in this paper. The various excited vibration of the gearbox housing can then be obtained for analyzing the vibration behaviour of the gearbox with the bearing LOD. Moreover, the influences of rotating speed and LOD sizes on the vibration characteristics of the gearbox housing are also analyzed. The established dynamic model is validated by experiments.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132660501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0