CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes最新文献

TDOA Positioning Method Based on Mixed Strategy Sparrow Search Algorithm 基于混合策略麻雀搜索算法的TDOA定位方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693705

Man Yang, Guangwu Chen, Zongshou Wei

引用次数: 1

Effect of Manned Submersible Operation on Structural Safety 载人潜水作业对结构安全的影响

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS45799.2019.9213438

Shengjie Qin, Xiaohui Liu, Yi Zhang, Lei Yang, Baohua Liu, Miao Tang, Xiangyi Zou

引用次数: 0

Nonlinear PLS with Neural Component Analysis Structure 具有神经成分分析结构的非线性PLS

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693603

Yonghui Wang, Zhijiang Lou

引用次数: 1

A composite fault diagnosis method of gearbox based on an enhanced deconvolution algorithm 基于增强反卷积算法的齿轮箱复合故障诊断方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693694

Shunyu Jia, Yongsheng Qi, Yongting Li

{"title":"A composite fault diagnosis method of gearbox based on an enhanced deconvolution algorithm","authors":"Shunyu Jia, Yongsheng Qi, Yongting Li","doi":"10.1109/SAFEPROCESS52771.2021.9693694","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS52771.2021.9693694","url":null,"abstract":"Aiming at the problem that the feature components that can reflect the gearbox system state are often interfered by noise and harmonics, when gearbox composite fault diagnosis is performed under strong background noise in large rotating machinery, which makes the extraction of fault feature signals limited. A composite fault diagnosis method based on singular value negentropy (SVN) and multipoint optimal minimum entropy deconvolution adjusted(MOMEDA) is proposed. First, the original composite fault signal is divided into different frequency bands using the 1/3 binomial tree strategy to reduce the noise impact and harmonic interference. Then the SVN of all frequency bands is calculated to construct the ordering kurtosis spectrum and the optimal frequency band is selected on the basis of considering both the periodicity and impulsivity of the fault signal. Then the multipoint kurtosis(MK) of the optimal frequency band is calculated and according to the extracted fault impulsive periodicity components using the MOMEDA algorithm deconvolute the optimal frequency band signal. Finally, the type of fault is judged by analyzing the frequency components with prominent amplitude in the mutual correlation spectrum. The analysis results of the experimental platform show that the method can effectively extract the fault characteristics disturbed by strong noise and realize the accurate diagnosis of Composite faults in gearbox.","PeriodicalId":178752,"journal":{"name":"CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122002115","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

A fuzzy PID method for suppressing drilling stick-slip vibration by introducing a Smith predictor 引入Smith预测器，提出了一种抑制钻具粘滑振动的模糊PID方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693734

Guangwu Chen, De-Chun Ba, Xin Zhou, Peng Li

引用次数: 1

Fault Detection of Modular Multilevel Converter with Kalman Filter Method 基于卡尔曼滤波的模块化多电平变换器故障检测

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS45799.2019.9213254

Huanzhen Hu, Yong Zhang, Zhenxing Liu, Mingyong Zhao

引用次数: 2

A current sharing state detection method for parallel redundant power system based on the spectrum of ripple 基于纹波谱的并联冗余电力系统电流共享状态检测方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693616

P. He, Quan Zhou, Huijie Zhang, L. Bai, S. Xie, Weijing Zhang, Li Qi

引用次数: 0

Method of Turnout Fault Diagnosis Based on DBN-BiLSTM Model 基于DBN-BiLSTM模型的道岔故障诊断方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693661

Guangwu Chen, Rong Lu

引用次数: 1

A remaining life prediction method based on semi-random filter considering model uncertainty 考虑模型不确定性的半随机滤波剩余寿命预测方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS52771.2021.9693736

Xu Zhu, Xiaosheng Si, Renpeng Mo, Changhua Hu, Tianmei Li

{"title":"A remaining life prediction method based on semi-random filter considering model uncertainty","authors":"Xu Zhu, Xiaosheng Si, Renpeng Mo, Changhua Hu, Tianmei Li","doi":"10.1109/SAFEPROCESS52771.2021.9693736","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS52771.2021.9693736","url":null,"abstract":"The remaining life prediction is at the core of the application of health management technology. Semi-random filtering method is one of widely used prognosis method in this field. Existing studies on semirandom filtering methods have solved the problem of insufficient initial distribution determination by considering the prior knowledge of degraded equipment. However, for a class of degraded equipment that has unknown distribution characteristics and even does not have prior knowledge, the initial distribution required by this kind of methods cannot be easily determined. To solve this problem, this paper proposes a method for predicting the remaining life of degraded equipment based on the semi-random filtering method considering the model uncertainty. The method is based on the Bayesian model averaging method to fuse different models with different initial distributions, and the fused distribution based on the Bayesian model averaging method is used instead of the initial distribution to predict the remaining life, and the parameter estimation is obtained by the maximum likelihood method based on the historical data. Finally, the proposed method is verified based on the fatigue crack growth data, and the results show that the Bayesian model averaging method can improve the remaining life prediction accuracy when considering the model uncertainty.","PeriodicalId":178752,"journal":{"name":"CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130231754","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

An Improved LSSVM Fault Diagnosis Classification Method Based on Cross Genetic Particle Swarm 基于交叉遗传粒子群的改进LSSVM故障诊断分类方法

CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes Pub Date : 1900-01-01 DOI: 10.1109/SAFEPROCESS45799.2019.9213315

Xu Zhang, Darong Huang, Ling Zhao, Bo Mi, Yang Liu

引用次数: 0