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Multi-objective optimization design of rail grinding profile in Curve Section of Subway based on wear Evolution and representative worn profile 基于磨损演变和代表性磨损轮廓的地铁曲线段钢轨打磨轮廓多目标优化设计
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-27 DOI: 10.17531/ein/191472
Jun Zhou, Lin-ya Liu, Jiyang Li
{"title":"Multi-objective optimization design of rail grinding profile in Curve Section of Subway based on wear Evolution and representative worn profile","authors":"Jun Zhou, Lin-ya Liu, Jiyang Li","doi":"10.17531/ein/191472","DOIUrl":"https://doi.org/10.17531/ein/191472","url":null,"abstract":"Curve rail grinding has always been one of the key points of subway maintenance and repair. The appropriate grinding can effectively reduce wear. A multi-objective optimization design method for grinding profiles in curved sections is proposed. Firstly, representative grinding profiles are selected as the initial population using the dynamic time regularization algorithm (DTW). Then, the optimal design range is determined based on wear characterization analysis, and mathematical expressions of wheel profiles are chosen as design variables to establish a parametric model. Next, the prediction model considering the evolution of wheel wear is incorporated into the multi-objective function, and objective function adaptive weight adjustment coefficient factors are introduced to establish the multi-objective optimization model for wheel profiles. The Latin hypercubic sampling method is employed to establish the RBF agent model for simulation calculation, and the optimization design of wheel profiles is carried out using the TS-NSGA-II multi-objective algorithm.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"71 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798399","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
Life prediction and risk assessment on the aircraft cable based on thermal damage features 基于热损伤特征的飞机电缆寿命预测和风险评估
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-26 DOI: 10.17531/ein/191696
Yin-Jyun Hu, Haoqi Yang, Hongjuan Ge, Yingchun Hua, Hui Jin, Kuangming Pan
{"title":"Life prediction and risk assessment on the aircraft cable based on thermal damage features","authors":"Yin-Jyun Hu, Haoqi Yang, Hongjuan Ge, Yingchun Hua, Hui Jin, Kuangming Pan","doi":"10.17531/ein/191696","DOIUrl":"https://doi.org/10.17531/ein/191696","url":null,"abstract":"Aiming at the operational risk caused by melting of aircraft cable insulation layer, an aircraft cable safety analysis method based on thermal damage characteristics is proposed to accurately predict the life and dynamically assess the risk. Based on the mechanism of cable thermal damage, two types of damage characteristics including the thermal damage influence factor and the radial melting rate are defined, which characterizes the influence and degree of cable thermal damage. Use thermal damage influence factor to indicate that cable thermal damage accelerates cable failure, and a method of cable life prediction is proposed. Moreover, a dynamic risk assessment model for aircraft cable is constructed from two perspectives of thermal damage degree and failure probability. The results show that the cable life prediction method proposed owes higher accuracy and better applicability in different operating areas. The proposed risk assessment model is effective and the results are consistent with the experimental.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"43 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800258","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
Fault Diagnosis of Centrifugal fan Bearings Based on I-CNN and JMMD in the Context of Sample Imbalance 样本不平衡背景下基于 I-CNN 和 JMMD 的离心风机轴承故障诊断
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-24 DOI: 10.17531/ein/191459
Yang Gao, Xueyi Li
{"title":"Fault Diagnosis of Centrifugal fan Bearings Based on I-CNN and JMMD in the Context of Sample Imbalance","authors":"Yang Gao, Xueyi Li","doi":"10.17531/ein/191459","DOIUrl":"https://doi.org/10.17531/ein/191459","url":null,"abstract":"The fault diagnosis is an effective technical means to improve the reliability of centrifugal fan bearings. The serious imbalance of data is one of the important issues facing bearing fault diagnosis.In this paper, a transfer learning-based fault diagnosis method for Centrifugal fan bearings is proposed, utilizing the improved CNN (I-CNN) and Joint Maximum Mean Discrepancy (JMMD) algorithms. The raw vibration signals of the bearings are enhanced through fast Fourier transform for feature representation. The signals are then processed by parallel multi-scale CNNs with an embedded Squeeze-and-Excitation (SE) attention to focus on key features. Furthermore, the JMMD is introduced as a metric for quantifying the disparity between the source and target domains, thereby mitigating domain shift. In the loss function, weight factors and scaling factors are introduced to increase attention on minority samples and easily confused samples within the imbalanced dataset. The proposed method is validated on the Centrifugal fan bearing dataset from Jiangnan University and the CWRU dataset.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810200","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
Prediction of cyber-attacks in air transport using neural networks 利用神经网络预测航空运输中的网络攻击
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-22 DOI: 10.17531/ein/191476
M. Izdebski, Anna Michalska, Ilona Jacyna-Gołda, L. Gherman
{"title":"Prediction of cyber-attacks in air transport using neural networks","authors":"M. Izdebski, Anna Michalska, Ilona Jacyna-Gołda, L. Gherman","doi":"10.17531/ein/191476","DOIUrl":"https://doi.org/10.17531/ein/191476","url":null,"abstract":"This article addresses the topic of cyber-attacks in air transport, which is crucial for ensuring the safety and reliability of airports and air transport operations. The aim of the article was to present a new method for predicting cyber-attacks in air transport based on neural networks. The task of the neural network was to determine the multiple regression function based on which the probability of a cyberattack occurring at a specified hour and on a specific day of the week is predicted. The probability, depending on the time of the cyberattack occurrence, was determined using theoretical distributions. The method was verified with real data. Verification of the method confirmed its high effectiveness, determined at the level of 92%. The study examined the effectiveness of using the classical multiple regression method in predicting cyber-attacks in air transport. The classical multiple regression model covered only 0.14 of the input data, while the regression model generated by the neural network covered 0.99, indicating the high efficiency of the developed neural network.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"74 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141817559","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
Wear state identification of ball screw meta action unit based on parameter optimization VMD and improved Bilstm 基于参数优化 VMD 和改进型 Bilstm 的滚珠丝杠元动作单元磨损状态识别技术
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-22 DOI: 10.17531/ein/191461
Hong-yu Ge, Cangfu Wang, Anxiang Guo, Chuanwei Zhang, Zhan Zhao, Manzhi Yang
{"title":"Wear state identification of ball screw meta action unit based on parameter optimization VMD and improved Bilstm","authors":"Hong-yu Ge, Cangfu Wang, Anxiang Guo, Chuanwei Zhang, Zhan Zhao, Manzhi Yang","doi":"10.17531/ein/191461","DOIUrl":"https://doi.org/10.17531/ein/191461","url":null,"abstract":"In this paper, a novel neural network based on parameter optimization Variational Mode Decomposition (VMD) and improved bidirectional long short-term memory (BiLSTM) is proposed. Wear state recognition method of ball screw element action unit component based on Bilstm. Firstly, Tent chaotic map and adaptive sine cosine Algorithm were used to improve the improved Northern Goshawk Optimisation Algorithm (INGO) to verify the superiority of INGO algorithm and determine the optimal parameter combination of VMD. Secondly, INGO-VMD was used to decompose the collected vibration signals and calculate the correlation of IMF components, and the multi-feature information matrix that could characterize the wear state change of the lead screw was constructed after retaining the IMF components with large correlation. Finally, the divided feature information matrix and labels were input into the Bilstm network model of Bayesian optimization (BO) for training, and the Softmax classifier was used to classify and identify the wear state category.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"5 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141817055","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
Exponential Dispersion accelerated degradation modelling and reliability assessment considering initial value and processes heterogeneity 考虑初始值和过程异质性的指数分散加速退化建模和可靠性评估
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-22 DOI: 10.17531/ein/191432
Runcao Tian, Fan Zhang, Hongguang Du, Peng Wang
{"title":"Exponential Dispersion accelerated degradation modelling and reliability assessment considering initial value and processes heterogeneity","authors":"Runcao Tian, Fan Zhang, Hongguang Du, Peng Wang","doi":"10.17531/ein/191432","DOIUrl":"https://doi.org/10.17531/ein/191432","url":null,"abstract":"In the production and operation, inherent variability and uncertainty necessitate addressing unit-to-unit heterogeneity in initial performance values and degradation processes. This article presents a bi-stochastic exponential dispersion process (BS-ED) designed to account for heterogeneity in both initial performance values and degradation processes. First, based on the ED process, the time and acceleration covariates are introduced to form a nonlinear accelerated ED process, and a random effect coefficient associated with the accelerated stress is incorporated to consider the heterogeneity of the process. Meanwhile, through the modelling of degradation time-shift, a degradation model considering the stochastic initial value of the product performance is developed. To effectively conduct the statistic inference of the BS-ED process, an improved stochastic EM algorithm is proposed, and the information matrix and Ito calculus are combined to estimate the confidence intervals. Finally, the stability of the method is verified by simulation and analyzed by two real cases.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"31 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816954","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
Fault diagnosis method for rotating machinery based on SEDenseNet and Gramian Angular Field 基于 SEDenseNet 和 Gramian Angular Field 的旋转机械故障诊断方法
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-22 DOI: 10.17531/ein/191445
Ruoyang Bai, Hongwei Wang, Wenlei Sun, Yuxin Shi
{"title":"Fault diagnosis method for rotating machinery based on SEDenseNet and Gramian Angular Field","authors":"Ruoyang Bai, Hongwei Wang, Wenlei Sun, Yuxin Shi","doi":"10.17531/ein/191445","DOIUrl":"https://doi.org/10.17531/ein/191445","url":null,"abstract":"The fault diagnosis in rotating machinery is crucial for ensuring the safe and dependable operation of intricate mechanical systems. Addressing the limitations inherent in traditional deep learning approaches concerning extended time sequence encoding and subpar generalization capability is paramount. The study utilizes the Gramian Angular Field (GAF) and Squeeze and Excitation (SE) attention mechanisms to alleviate these constraints. GAF enhances feature extraction by emphasizing the angular relationships among adjacent signal points to uncover latent fault characteristics. Simultaneously, through the integration of SE with DenseNet architecture, the network facilitates global information exchange and improves multi-scale fusion, thereby enhancing the precise identification of fault type and location within the signal. Experiments conducted on two datasets achieved accuracies of 100% and 99.85%, respectively, outperforming other methods and models, thereby validating the effectiveness of this study.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815382","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
Optimal maintenance policy for a Markov deteriorating system under reliability limit 可靠性限制下马尔可夫劣化系统的最优维护策略
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-20 DOI: 10.17531/ein/190865
Meltem Kocer Ozturk, Tahir Khaniyev
{"title":"Optimal maintenance policy for a Markov deteriorating system under reliability limit","authors":"Meltem Kocer Ozturk, Tahir Khaniyev","doi":"10.17531/ein/190865","DOIUrl":"https://doi.org/10.17531/ein/190865","url":null,"abstract":"In this study, failure data of computer numerical control machine used in defense industry was analyzed to develope maintenance algorithm with a Markov feature. An imperfect preventive maintenance model that minimizes long-term operational cost is created for the machine wearing down randomly over time. The reliability-centric preventive maintenance policy was developed where the system status was monitored instantaneously. The use and age-related deterioration process of system is defined as the failure rate increase factor and age reduction factor, and these variables are combined to create hybrid failure model. As result of the imperfect maintenance algorithm developed for the multi-component machine, minimum long-term total unit cost, optimum system reliability value, number of maintenance and times between sequential maintenance cycles are obtained as outputs. Furthermore, system sub-equipment was specified that needs to be maintained in each cycle. Morover, imperfect maintenance activities are planned when the reliability level of subsystems drops to the predetermined R value.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"61 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819212","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
Fracture Process and Instability Precursor Determination of Freeze-thaw Red Sandstone Based on Acoustic Emission Monitoring 基于声发射监测的冻融红砂岩断裂过程和不稳定性前兆测定
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-20 DOI: 10.17531/ein/191193
Mengchen Yun, Jianxi Ren, Liang Zhang, Xu Chen
{"title":"Fracture Process and Instability Precursor Determination of Freeze-thaw Red Sandstone Based on Acoustic Emission Monitoring","authors":"Mengchen Yun, Jianxi Ren, Liang Zhang, Xu Chen","doi":"10.17531/ein/191193","DOIUrl":"https://doi.org/10.17531/ein/191193","url":null,"abstract":"Research on the damage and fracture mechanism of freeze-thaw (F-T) rocks under loading is a key scientific endeavor derived from numerous safety concerns in cold region rock mass engineering. This study analyzed the relationship between the entire triaxial compression process of the red sandstone and acoustic emission parameters. Based on the nonlinear growth characteristics of cumulative event counts of acoustic emission, a predictive method was proposed for determining the crack initiation strength, damage strength, and failure strength of F-T sandstone. The results demonstrated that this method exhibited good consistency with the crack volume strain approach and accurately and conveniently predicted sample failure strength. The fitted curve of the equation closely aligned with experimental data. These findings offer insights into the classification of damage and fracture mechanisms in F-T sandstone and provide valuable groundwork for research on rock failure prediction and forecasting methods employing acoustic emission monitoring.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"118 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820013","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
Bayesian network approach for dynamic fault tree with common cause failures and interval uncertainty parameters 具有共同原因故障和区间不确定性参数的动态故障树的贝叶斯网络方法
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-13 DOI: 10.17531/ein/190379
Ruogu Zhang, Shufang Song
{"title":"Bayesian network approach for dynamic fault tree with common cause failures and interval uncertainty parameters","authors":"Ruogu Zhang, Shufang Song","doi":"10.17531/ein/190379","DOIUrl":"https://doi.org/10.17531/ein/190379","url":null,"abstract":"Traditional fault tree analysis often assumes that the basic events are independent and the failure parameters are known. Therefore, it is powerless to deal with the correlation among basic events and the uncertainty of failure parameters due to the small failure data. Therefore, a framework based on continuous-time Bayesian network is proposed to evaluate the reliability of fault tree with common cause failures (CCF) and uncertainty parameters. Firstly, the best-worst method (BWM) and hesitant fuzzy set (HFS) are introduced to address the issue of β-factor being influenced by experts’ subjectivity. Then, the interval theory is introduced to deal with the uncertainty parameters. Based on continuous-time Bayesian network, the conditional probability functions of logic gates (i.e. AND gate, OR gate, spare gate, priority AND gate) with CCF are derived, and the upper and lower bounds of failure probability of top event can be solved. Finally, the fault tree of CPU system is given to verify the effectiveness of the proposed framework.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"25 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651105","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
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