2018 Condition Monitoring and Diagnosis (CMD)最新文献_第3页

Gear fault classification using Vibration and Acoustic Sensor Fusion: A Case Study 基于振动与声传感器融合的齿轮故障分类研究

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535974

Vanraj, S. S. Dhami, B. Pabla

{"title":"Gear fault classification using Vibration and Acoustic Sensor Fusion: A Case Study","authors":"Vanraj, S. S. Dhami, B. Pabla","doi":"10.1109/CMD.2018.8535974","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535974","url":null,"abstract":"Condition monitoring systems are increasingly being employed in industrial applications to improve the availability of equipment and to increase the overall equipment efficiency. Condition monitoring of gears, a key element of rotating machines, ensures to continuously reduce and eliminate costs, unscheduled downtime and unexpected breakdowns. Various gear fault diagnosis techniques have been reported which primarily focus on vibration analysis using statistical measures. On the other hand, acoustic signals possess a huge potential in condition monitoring, as acoustic monitoring is more sensitive to vibrating bodies than vibration sensors and hence provides an opportunity to identify faults in early stage. Still, limited studies have been reported for condition monitoring of rotating machines using acoustic sensing as compared to vibration sensing. The advantages of vibration based and acoustic based condition monitoring approaches may be synthesized by using sensor fusion, which is combining sensory data derived from different sources such that the resulting information has less uncertainty than the information derived from these sources individually. In the present work, classification of severity of chipped tooth fault in gears has been reported using vibration and acoustic sensor fusion and its effectiveness vis-vis vibration and acoustic approaches has been evaluated.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84986331","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: 9

Development of automatic detection algorithm and system on ultrasonic diagnosis for electric facilities 电力设施超声诊断自动检测算法及系统的研制

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535754

Chul-ho Park, Sangsuh Park, Jeong-chae Kim, Sangbae Oh, Y. Hwang

引用次数: 0

Analysis of Time-Frequency Characteristics of PD Electromagnetic Wave Based on Electromagnetic Simulation 基于电磁仿真的PD电磁波时频特性分析

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535874

Zijing Zeng, Jianwen Wang, Yue Hu, Zhi-wei Wang, Hongyi Huang

{"title":"Analysis of Time-Frequency Characteristics of PD Electromagnetic Wave Based on Electromagnetic Simulation","authors":"Zijing Zeng, Jianwen Wang, Yue Hu, Zhi-wei Wang, Hongyi Huang","doi":"10.1109/CMD.2018.8535874","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535874","url":null,"abstract":"The electromagnetic wave excited by Partial Discharge (PD) suffers severe signal fading caused by equipment, free space and the effects of multipath, when it propagates from PD source to Ultra-High Frequency (UHF) sensor. These effects make the waveform and energy of the signal received by the sensor greatly differing from the original signal. In order to accurately obtain the time-frequency characteristics of the PD pulse signal received by the sensor, analyze the factors affecting its change and searching about PD source location and pattern recognition, it is necessary to analyze the radiation mechanism and propagation process of PD electromagnetic wave deeply. This paper carried out the research on propagation characteristics of PD pulse in the space of substation based on the electromagnetic simulation. The paper firstly used the equivalent model of electric dipole to analyze the basic principle of PD electromagnetic wave radiation, and then simulated the propagation of PD electromagnetic waves in a real open-type substation 3D model based on CST microwave studio, which is an electromagnetic simulation platform. The oscillation, time delay and frequency spectrum of PD electromagnetic wave detected by probes at different distances from PD source were analyzed on E-plane and H-plane in UHF frequency band. The simulation results show that the electromagnetic simulation can obtain the changing rule of the time-frequency characteristics about PD electromagnetic wave propagation, and also explain that the different propagation distance and the complexity of channel in propagation path can greatly affect the time-frequency characteristics of PD electromagnetic wave. Meanwhile, the simulation results also provide guidance for PD sensor positioning in the substation and parameters setting. And some proposals for time delay algorithm selection in PD location are offered as well.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"75 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80419893","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: 3

State of the Art in GIS PD Diagnostics GIS PD诊断的最新进展

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535741

G. Behrmann, W. Koltunowicz, U. Schichler

引用次数: 10

Usability of fiber Bragg grating sensors for the fatigue life monitoring of overhead transmission lines 光纤光栅传感器在架空输电线路疲劳寿命监测中的可用性

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535970

Xinbo Hang, Han Zhang, Yu Zhao

{"title":"Usability of fiber Bragg grating sensors for the fatigue life monitoring of overhead transmission lines","authors":"Xinbo Hang, Han Zhang, Yu Zhao","doi":"10.1109/CMD.2018.8535970","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535970","url":null,"abstract":"Fretting fatigue of transmission lines, caused by Aeolian vibration, always leads to catastrophic failure of conductors. The fatigue life monitoring of overhead transmission lines is an effective method to foresee strands broken of the conductor. Fatigue severity is usually expressed by alternating bending stress which occurs in the vicinity of suspension clamps during vibration. Given that it is hard to measure the fatigue stress directly, according to IEEE, alternating bending amplitude is recommended as a substitute measured parameter for fatigue life. In this paper, an on-line monitoring system based on a fiber-optic acceleration sensor is designed to analyze the fatigue life of overhead transmission lines in Aeolian vibration surveillance. Considering its superior performance of anti-electromagnetic interference, Fiber Bragg Grating (FBG) sensor is used to measure alternating bending amplitude of overhead transmission lines. And a Cumulative Fatigue Damage (CFD) method, which is based on alternating bending amplitude for vibration and the Stress-Cycle (S-N) curves, is proposed to calculate the fatigue life of overhead transmission lines. A case study of the one-month measurement data of Aeolian vibration for 1000kV Ultra-High Voltage (UHV) transmission lines is presented. Then an on-line monitoring system based on a fiber-optic acceleration sensor is designed to analyze the fatigue life of overhead transmission lines in Aeolian vibration surveillance.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"5 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82499379","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

A Feature Selection Algorithm Based on Variable Correlation and Time Correlation for Predicting Remaining Useful Life of Equipment Using RNN 基于变量相关性和时间相关性的RNN设备剩余使用寿命预测特征选择算法

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535843

Yongjie Ning, Gang Wang, JiaCheng Yu, Hanhan Jiang

引用次数: 6

Effect of Blend of Polystyrene on the Temperature Dependence of DC Breakdown Characteristics of Polyethylene 聚苯乙烯共混物对聚乙烯直流击穿特性温度依赖性的影响

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535684

Lianghong Cao, L. Zhong, Yinge Li, Z. Shen, Lei Jiang, Jinghui Gao, Guanghui Chen

引用次数: 4

Effects of Hygrothermal Ageing on Breakdown Performance of Polyesterimide Nanocomposites 湿热老化对聚酯亚胺纳米复合材料击穿性能的影响

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535812

Huan Niu, Wenfeng Liu, X. Chi, Yin Huang, Shusai Zheng, D. Min, Shengtao Li, Yu Xia, Wen Wang

{"title":"Effects of Hygrothermal Ageing on Breakdown Performance of Polyesterimide Nanocomposites","authors":"Huan Niu, Wenfeng Liu, X. Chi, Yin Huang, Shusai Zheng, D. Min, Shengtao Li, Yu Xia, Wen Wang","doi":"10.1109/CMD.2018.8535812","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535812","url":null,"abstract":"Polyesterimide and its nanocomposites are widely applied in motors and generators. However, the electrical properties of them deteriorated under the hygrothermal environment, which is a critical problem for safe operation of motors and generators in power systems. Therefore, it is urgent to study the mechanism of electrical properties during hygrothermal ageing. In this paper, neat polyesterimide and polyesterimide nanocomposites were prepared. The specimens were exposed in an oven with 100% relative humidity and 80°C for two weeks. The changes of specimen mass were measured to acquire moisture absorption. The breakdown experiment and the thermally stimulated current experiment were conducted. It is found that the trap level decreases after hygrothermal ageing process, which leads to the promoted carrier migration and the deceased breakdown strength. In addition, as the ageing time increases, the reduction proportion of breakdown strength of polyesterimide nanocomposites is smaller than that of neat polyesterimide. It is inferred that the interaction zone induced by nanoparticles, on one hand, increases the deep trap level. On the other hand, the bonding between nanoparticles and the matrix is enhanced by the surface treatment on nanoparticles, resulting in improved property stability of nanocomposites in the hygrothermal ageing.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"17 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80082598","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

Research on calibration technology for electronic current transformers 电子式电流互感器标定技术研究

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535787

Yue Tong, B. Liu, A. Abu‐Siada, Zhenhua Li, Chunyan Li, Binxin Zhu

引用次数: 5

Pattern Recognition of Partial Discharge Image Based on One-dimensional Convolutional Neural Network 基于一维卷积神经网络的局部放电图像模式识别

2018 Condition Monitoring and Diagnosis (CMD) Pub Date : 2018-09-01 DOI: 10.1109/CMD.2018.8535761

Xiaoqi Wan, Hui Song, Lingen Luo, Zhe Li, G. Sheng, Xiuchen Jiang

{"title":"Pattern Recognition of Partial Discharge Image Based on One-dimensional Convolutional Neural Network","authors":"Xiaoqi Wan, Hui Song, Lingen Luo, Zhe Li, G. Sheng, Xiuchen Jiang","doi":"10.1109/CMD.2018.8535761","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535761","url":null,"abstract":"Big data platforms and centers are ubiquitous today where a large amount of unstructured data on site such as images is accumulated. For structured data, partial discharge pattern recognition method has been extensively studied, whereas traditional methods can not be directly applied to unstructured data. To this end, a time-domain waveform pattern recognition method based on one-dimensional convolutional neural network (CNN) is proposed. Image processing techniques are applied to obtain one-dimensional characteristics of the waveform. Based on deep learning, the network is constructed for pattern recognition straight forwardly. Through on site detection and simulation experiments, image data sets of five partial discharge defects are established and comparative experiments are conducted. Experimental results show that the proposed method can successfully perform pattern recognition with applications in work of data mining and data utilization. Under the same complexity, it is also with higher accuracy comparing to two-dimensional CNN. Furthermore, the method autonomously extrapolates features without manual extraction, which achieves low experimental complexity and robustness simultaneously.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"206 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77608048","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: 38