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Two-stage Remaining Useful Life Prediction Based on the Wiener Process With Multi-feature Fusion and Stage Division 基于多特征融合和阶段划分的维纳过程的两阶段剩余使用寿命预测
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-13 DOI: 10.17531/ein/189803
Qingluan Guan, Zhongyi Zuo, Yanqin Teng, Huixian Zhang, Limin Jia
{"title":"Two-stage Remaining Useful Life Prediction Based on the Wiener Process With Multi-feature Fusion and Stage Division","authors":"Qingluan Guan, Zhongyi Zuo, Yanqin Teng, Huixian Zhang, Limin Jia","doi":"10.17531/ein/189803","DOIUrl":"https://doi.org/10.17531/ein/189803","url":null,"abstract":"Remaining life prediction (RUL) is a critical link of maintenance decision-making, the accurate RUL prediction is an important means to monitor the operating status and achieve the safe operation of equipment. However, existing studies rarely considered the multi-stage characteristics of indicator fusion in the degradation process, and directly used the Wiener process to establish degradation model, which results in significant errors in RUL prediction results. Therefore, to solve above issues, a two-stage RUL prediction method of bearing based on the Wiener process model with data fusion and stage division is proposed in the paper. Firstly, the concept of multi-feature fusion is introduced to construct a comprehensive health indicator (CHI) that considers indicator performance. After that, a two-stage RUL prediction model based on the CHI is developed, and a method for detecting change points and dividing stages is proposed. Finally, the effectiveness and predictability of the proposed method and CHI are demonstrated based on the bearing test datasets.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"44 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650568","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
Enhancing Demolition Works Safety: Integrating Numerical and Experimental Methods for Structural Failure Prevention in Remote-Controlled Demolition Robots. 加强爆破工程安全：遥控爆破机器人结构故障预防的数值和实验方法整合。
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-13 DOI: 10.17531/ein/190466
J. Andruszko, Damian Derlukiewicz
{"title":"Enhancing Demolition Works Safety: Integrating Numerical and Experimental Methods for Structural Failure Prevention in Remote-Controlled Demolition Robots.","authors":"J. Andruszko, Damian Derlukiewicz","doi":"10.17531/ein/190466","DOIUrl":"https://doi.org/10.17531/ein/190466","url":null,"abstract":"The paper presents an approach that combines numerical and experimental techniques to evaluate the possibility of failure prevention of the structure of demolition robots. Based on a real example of the machine, the possibility of application and development of the author's method was presented. The main problem when designing this type of machine is the negligible knowledge of how dynamic loads act during operation and how many times they appear. Underestimating the loads and their cycles when designing these types of machines can cause them to become damaged quickly. The method presented in the article allows to solve the problem of determining the key parameters needed in the evaluation of this type of construction such as loads, but also allows to determine the number of load cycles, which is particularly important for fatigue. The result presented in the article is an authors’ method that allows determining the fatigue of the structure of a demolition machine by combining numerical and experimental techniques.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"49 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652077","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 novel NMF-DiCCA deep learning method and its application in wind turbine blade icing failure identification 新型 NMF-DiCCA 深度学习方法及其在风力涡轮机叶片结冰故障识别中的应用
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-13 DOI: 10.17531/ein/190381
Chuangyan Yang, Peng Li, Xun Lang, Jiande Wu
{"title":"A novel NMF-DiCCA deep learning method and its application in wind turbine blade icing failure identification","authors":"Chuangyan Yang, Peng Li, Xun Lang, Jiande Wu","doi":"10.17531/ein/190381","DOIUrl":"https://doi.org/10.17531/ein/190381","url":null,"abstract":"Wind turbine blade icing data has the characteristics of multi-source and multi variable. It is difficult to characterize and identify the icing failure with multi-scale features. In this paper, a novel Non-negative Matrix Factorization-Dynamic-inner Canonical Correlation Analysis (NMF-DiCCA )based on GRU and SSAE algorithm is proposed to solve this problem. Firstly, using NMF instead of SVD decomposition method in DiCCA algorithm, the NMF-DiCCA is applied to obtain the dynamic latent variable of time serie. Secondly, the latent structure features S of dynamic latent variable is captured by SSAE. Thirdly, the temporal correlation hidden feature H of dynamic latent variable is extracted by Gated Recurrent Unit (GRU). Finally, the attention weight distribution between latent structure S and temporal correlation hidden feature H is integrated using the attention mechanism, and the fusion feature is reconstructed using the improved SSAE(ISSAE) based on GRU and SSAE.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"22 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651342","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
Effect of changes in hydraulic parameters and tank capacity of the hydraulic press system on the heating of the hydraulic oil 液压参数和液压机系统油箱容量的变化对液压油加热的影响
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-13 DOI: 10.17531/ein/190826
Borivoj Novaković, Luka Djordjević, M. Đurđev, L. Radovanović, Ninoslav Zuber, Eleonora Desnica, M. Bakator
{"title":"Effect of changes in hydraulic parameters and tank capacity of the hydraulic press system on the heating of the hydraulic oil","authors":"Borivoj Novaković, Luka Djordjević, M. Đurđev, L. Radovanović, Ninoslav Zuber, Eleonora Desnica, M. Bakator","doi":"10.17531/ein/190826","DOIUrl":"https://doi.org/10.17531/ein/190826","url":null,"abstract":"This study examines the influence of altering hydraulic parameters on the temperature of ISO HM VG 46 hydraulic mineral oil. Hydraulic mineral oils find extensive application in industrial power transmission systems, where precise temperature control is crucial for achieving optimal performance and prolonging system lifespan. Variations in hydraulic parameters, encompassing flow rate, pressure, and viscosity, can significantly impact the thermal characteristics of hydraulic oil.In this research, experimental studies were carried out to study the influence of changing hydraulic parameters on the temperature of hydraulic mineral oil. Experiments were performed on a hydraulic press, where different working conditions were simulated.The quality of hydraulic fluid is considered, according to all research, to be the most influential factor in ensuring the reliable operation of hydraulic systems.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"65 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652000","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
Robust Design Based on Cost-Quality Model in Micro-Manufacturing 基于微制造中成本-质量模型的稳健设计
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-07-07 DOI: 10.17531/ein/190380
Yunxia Han, Wende Xi, Shijuan Yang, Weillu Wang, Jiawei Wu
{"title":"Robust Design Based on Cost-Quality Model in Micro-Manufacturing","authors":"Yunxia Han, Wende Xi, Shijuan Yang, Weillu Wang, Jiawei Wu","doi":"10.17531/ein/190380","DOIUrl":"https://doi.org/10.17531/ein/190380","url":null,"abstract":"This paper proposes a novel total cost model for the micro‐products' entire life cycle that takes into account the uncertainty of the model parameters. The total cost includes pre-sale manufacturing and post-sale warranty costs. Additionally, different marketing strategies are also given based on the weight of internal and external costs. Furthermore, limited data and unknown effects in experiments may cause large errors in parameter estimates. This could prevent the achievement of reliable designs. To address this, robust optimization and interval estimation are used. This approach reduces the impact of uncertainty on parameter estimates. It ensures optimality and robustness in micro-manufacturing parameters. Example analysis and numerical simulation results show that the proposed method assists companies in selecting the optimal manufacturing parameter level that aligns with their marketing strategies. Besides, considering uncertainty factors can ensure that the optimization results remain guaranteed, even under the worst-case scenarios.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":" 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671321","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
Advanced Sparse Filtering-Based Domain Adaptation for Fault Diagnosis in Variable Working Conditions 基于稀疏滤波的高级领域适应性，用于多变工作条件下的故障诊断
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-04-25 DOI: 10.17531/ein/187889
Ziyou Zhou, Wenhua Chen, Jian feng Ma
{"title":"Advanced Sparse Filtering-Based Domain Adaptation for Fault Diagnosis in Variable Working Conditions","authors":"Ziyou Zhou, Wenhua Chen, Jian feng Ma","doi":"10.17531/ein/187889","DOIUrl":"https://doi.org/10.17531/ein/187889","url":null,"abstract":"Traditional domain adaptation (DA) methods often encounter challenges with cross-domain feature extraction and the precise assessment of domain differences. To overcome these limitations, we introduce the Enhanced Sparse Filtering-Based Domain Adaptation (ESFBDA) method. This method distinguishes itself by enhancing sparse filtering (SF) with the integration of row-column normalization and a cosine penalty, specifically designed to minimize feature loss—a critical issue in existing DA techniques. Additionally, we employ Bootstrap resampling to refine domain distribution alignment, a novel step that boosts feature similarity and effectiveness in DA. This integrated approach ensures more accurate feature extraction, which is crucial for the classifier's fault detection capability. In our study, through two distinct experiments on Electro-Hydrostatic Actuator (EHA) internal leakage and bearing fault diagnosis, the ESFBDA method demonstrated remarkable accuracy, significantly surpassing traditional approaches and showcasing its robust applicability across varied diagnostic scenarios.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"3 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140654476","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
Control of the parameters of the surface layer of steel parts during their processing applying the material homogeneity criterion 应用材料均匀性标准控制钢制零件加工过程中的表面层参数
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-04-23 DOI: 10.17531/ein/187794
Kusyi Yaroslav, Stupnytskyy Vadym, Kostiuk Olha, O. Onysko, E. Dragašius, S. Baskutis, R. Chatys
{"title":"Control of the parameters of the surface layer of steel parts during their processing applying the material homogeneity criterion","authors":"Kusyi Yaroslav, Stupnytskyy Vadym, Kostiuk Olha, O. Onysko, E. Dragašius, S. Baskutis, R. Chatys","doi":"10.17531/ein/187794","DOIUrl":"https://doi.org/10.17531/ein/187794","url":null,"abstract":"The main goal of the presented research is to assess the technological damageability of the material, which can be used as a criterion for analyzing the technological route of product machining in the \"blank-workpiece-final part\" technological chain. This technological chain is examined in detail in the most important stages of the life cycles of mechanical engineering products in order to take into account the principles of technological inheritability of their characteristics and quality parameters. The technological inheritability of the properties of the surface layers of machines and mechanisms parts from steel during their machining evaluates and predicts the transformation of the structurally heterogeneous material obtained after the production of blanks into the structurally homogeneous material of the final parts. The procedure for evaluating the homogeneity of the processed material for each technological step by the LM hardness method is presented. The developed methodology was implemented and proven during the manufacturing process of the conveyor belt drive drum shaft.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"120 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140669340","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
Analysis of remaining useful life of slope based on nonlinear wiener process 基于非线性维纳过程的斜坡剩余使用寿命分析
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-04-23 DOI: 10.17531/ein/187160
Ming Huang, Weihai Yu, Fan Yang
{"title":"Analysis of remaining useful life of slope based on nonlinear wiener process","authors":"Ming Huang, Weihai Yu, Fan Yang","doi":"10.17531/ein/187160","DOIUrl":"https://doi.org/10.17531/ein/187160","url":null,"abstract":"A remaining useful life (RUL) prediction model based on the nonlinear Wiener process is proposed to better tackle the life evaluation problem in the slope degradation process. Taking the displacement of the slope as its performance degradation index, and the nonlinear Wiener process is used to establish the RUL prediction model of the slope. For this model, the least squares method (LSM) is used to estimate the drift coefficients, the maximum likelihood estimation method (MLEM) is used to estimate the diffusion parameters, and then the probability density function (PDF) of the RUL of the slope is deduced and the RUL is predicted. The proposed model is verified by slope engineering examples. The results demonstrated that the RUL of the degradation model based on the nonlinear Wiener process has a greater prediction accuracy than the linear Wiener process. Because the various nonlinear functions have varying slope adaptations, and it can predict the RUL of a slope more accurately, which can provide more reliable preventive maintenance decisions.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"35 52","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671962","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 method for determining the location and type of fault in transmission network using neural networks and power quality monitors 利用神经网络和电能质量监测器确定输电网络故障位置和类型的方法
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-04-23 DOI: 10.17531/ein/187166
Mario Šipoš, Z. Klaić, K. E. Nyarko, K. Fekete
{"title":"A method for determining the location and type of fault in transmission network using neural networks and power quality monitors","authors":"Mario Šipoš, Z. Klaić, K. E. Nyarko, K. Fekete","doi":"10.17531/ein/187166","DOIUrl":"https://doi.org/10.17531/ein/187166","url":null,"abstract":"A new technique for identifying the location of a fault on a power line utilizing neural networks is presented in this paper. Specifically, the procedure involves four stages (three of which employ neural networks): gathering voltage input data via simulation, classifying the fault type, detecting the faulted line, and determining the fault position on the power line. This model was developed and tested for the IEEE 39 bus test system. Input voltages are obtained using DigSILENT PowerFactory software in which a set of three-phase and single-phase short circuits are simulated. Not voltages from all buses are used for the subsequent stages, only voltages from the optimally placed 12 buses in the IEEE 39 bus test system are used. In the second step, the first neural network is employed in order to classify the fault type – single-phase or three-phase. In the second stage, another neural network is used to determine the faulted line and in the third stage, the last neural network is developed to determine the fault position on the faulted line.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"35 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671680","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
Comparative Analysis of Stochastic and Uncertain Process Degradation Modeling Based on RQRL 基于 RQRL 的随机和不确定过程降解建模对比分析
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-04-14 DOI: 10.17531/ein/186823
Kai Liu, Tian-Ji Zou, Mincheng Xin
{"title":"Comparative Analysis of Stochastic and Uncertain Process Degradation Modeling Based on RQRL","authors":"Kai Liu, Tian-Ji Zou, Mincheng Xin","doi":"10.17531/ein/186823","DOIUrl":"https://doi.org/10.17531/ein/186823","url":null,"abstract":"Small sample sizes cause epistemic uncertainties in reliability estimation and even result in potential risks in maintenance strategies. To explore the difference between stochastic- and uncertain-process-based degradation modeling in reliability estimation for small samples, this study proposes a comparative analysis methodology based on the range of quantile reliable lifetime (RQRL). First, considering both unit-to-unit variability and epistemic uncertainty, we proposed the Wiener and Liu process degradation models. Second, based on the RQRL, a comparative analysis method of different degradation models for reliability estimation under various sample sizes and measurement times was proposed. Third, based on a case study, the sensitivities of the Wiener and Liu process degradation models for various sample sizes and measurement times were compared and analyzed based on the RQRL. The results demonstrated that using the uncertain process degradation model improved the uniformity and stability of reliability estimation under small-sample conditions.","PeriodicalId":508934,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"225 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140704557","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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