Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability最新文献_第8页

Accuracy reliability analysis of CNC machine tools considering manufacturing errors degrees 考虑加工误差度的数控机床精度可靠性分析

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-02-17 DOI: 10.1177/1748006x231153704

Yangfan Li, Yingjie Zhang, Ning An

引用次数: 0

A multi-step approach for reliability-based robust design optimization of truss structures 基于可靠性的桁架结构稳健设计优化多步骤方法

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-02-06 DOI: 10.1177/1748006x231152633

H. Mehanpour, S. R. Hoseini Vaez, M. A. Fathali

{"title":"A multi-step approach for reliability-based robust design optimization of truss structures","authors":"H. Mehanpour, S. R. Hoseini Vaez, M. A. Fathali","doi":"10.1177/1748006x231152633","DOIUrl":"https://doi.org/10.1177/1748006x231152633","url":null,"abstract":"There are two general methods of robust design optimization (RDO) and reliability-based robust design optimization (RBRDO) for the optimal design of structures with non-deterministic variables. In the problem-solving process of both RDO and RBRDO, assessing the probabilistic constraints of the problem and the standard deviation of the structural responses is time-consuming and costly. In this study, by presenting a multi-step approach, for a probable optimal solution, the deterministic constraints are first investigated. Then the limit state functions related to probabilistic constraints are computed based on the mean value of random variables (in the RBRDO problem) and in the step of uncertainties effects simulation on the response of the structure, probabilistic constraints are evaluated (in the RBRDO problem). Designs that not meeting the deterministic constraints or in the unsafe area for the mean values of the random variables are not included in calculating the first and second terms of the objective function and reliability assessment. This leads to reduce the volume of calculations. The Monte Carlo simulation method is used to assess the probabilistic constraints, and the EVPS metaheuristic algorithm is used for the optimization process. Three benchmark trusses of 10, 25, and 72 bars were studied to assess the efficiency of the proposed approach. The first objective function in these problems was the mean weight of trusses and the second objective function was the standard deviation of the displacement of a specific node in a certain direction.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"22 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90943668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analyze periodic inspection and replacement policy of a shock and wear model with phase-type inter-shock arrival times using roots method 用根法分析具有相位型间冲击到达时间的冲击磨损模型的定期检查和更换策略

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-28 DOI: 10.1177/1748006x221151094

Miaomiao Yu, Yinghui Tang

{"title":"Analyze periodic inspection and replacement policy of a shock and wear model with phase-type inter-shock arrival times using roots method","authors":"Miaomiao Yu, Yinghui Tang","doi":"10.1177/1748006x221151094","DOIUrl":"https://doi.org/10.1177/1748006x221151094","url":null,"abstract":"We consider a shock and wear model in which the inter-shock arrival process is a phase-type (PH) renewal process, and the system’s lifetime is generally distributed. The system has two competing failure modes. One failure mode is due to random shocks, which cause failure by overloading the system. The other failure mode is owning to wear-out failures, which usually happen after the system has run for many cycles. System failure is not self-announcing and remains undiscovered unless an inspection is performed. The intervals between successive inspections are identical and equal to T time units. If a system failure is detected, the corrective repair or replacement is conducted immediately. If the system is found working at inspection, preventive maintenance will be carried out to prolong its useful life. Furthermore, to model the occurrence of events with an underlying monotonic trend, the extended geometric process (EGP) is employed to account for the impact of different types of failures on the system’s degradation. Moreover, for establishing the cost rate function in our model, the counting process generated from a PH renewal shock process is studied in detail using the roots method and formula for calculating residues. Based on these results, the survival function and other characteristics of the system are further investigated. Finally, numerical examples that determine the optimal inspection period T[Formula: see text] and the optimal replacement policy N[Formula: see text], which minimizes the long-run average cost rate, are presented.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"19 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84518991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Is the definition of risk still contested? 风险的定义是否仍有争议?

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-28 DOI: 10.1177/1748006X221125865

T. Aven

引用次数: 1

A new failure times model for one and two failure modes system: A Bayesian study with Hamiltonian Monte Carlo simulation 一种新的单失效模式和双失效模式系统的失效次数模型:基于哈密顿蒙特卡罗模拟的贝叶斯研究

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-20 DOI: 10.1177/1748006x221146367

B. Abba, Hong Wang

{"title":"A new failure times model for one and two failure modes system: A Bayesian study with Hamiltonian Monte Carlo simulation","authors":"B. Abba, Hong Wang","doi":"10.1177/1748006x221146367","DOIUrl":"https://doi.org/10.1177/1748006x221146367","url":null,"abstract":"This paper presents an additive Gompertz-Weibull (AGW) distribution, a four-parameter hybrid probability distribution, and its applications in reliability engineering. The failure rate (FR) function of the proposed model demonstrates an increasing trend and a variety of bathtub shapes with or without a low and yet long-stable segment, making it appropriate for modelling a wide variety of real-world problems. Some relationships between the AGW’s FR and its mean residual life functions are examined. For parameter estimation, maximum likelihood and Bayesian inferences are considered. For posterior simulations, we use Hamiltonian Monte Carlo to evaluate the Bayes estimators of the AGW parameters. We evaluate the performance of the proposed AGW model to that of other recent bathtub distributions constructed following the same approach on three failure time datasets. The first two datasets represent device failure times, while the third represents early cable-joint failure times, all with bathtub FR. For comparison, five parametric and nonparametric evaluation criteria and the fitted FR and mean residual life curves were employed. The results indicated that the AGW model would be the best choice for describing failure times, especially when the bathtub-shaped FR of the presented dataset exhibits its three segments.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"18 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85083055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Condition-based maintenance optimization for deteriorating systems considering performance-based contracting and destructive inspections 考虑到基于性能的合同和破坏性检查，对恶化系统进行基于状态的维护优化

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-12 DOI: 10.1177/1748006x221148239

Yu-Jun Zhang, Yukun Wang, Xiaopeng Li, Yiliu Liu, Weizheng Gao

{"title":"Condition-based maintenance optimization for deteriorating systems considering performance-based contracting and destructive inspections","authors":"Yu-Jun Zhang, Yukun Wang, Xiaopeng Li, Yiliu Liu, Weizheng Gao","doi":"10.1177/1748006x221148239","DOIUrl":"https://doi.org/10.1177/1748006x221148239","url":null,"abstract":"As a novel contracting approach, the performance-based contracting (PBC) utilizes defined performance goals and structured incentives to improve the system availability and reduce the cost by tying the compensation to the service supplier to the system performance outcome. In this paper, two new CBM optimization models within the PBC framework are proposed considering the impacts of destructive inspections on the system degradation behavior. The average maintenance cost rate and the system availability within the contract horizon are estimated. Under the inspection-based replacement scheme, the objectives are to maximize the expected profit rate to the supplier and/or the resulting system average availability. A solution procedure based on the non-dominated sorting genetic algorithm (NSGA-II) combining with the weighted sum method (WSM) is introduced to derive the optimal CBM policies. Numerical examples and sensitivity analysis are conducted to examine the applicability of the proposed models.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"9 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89398879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On preventive maintenance of k-out-of-n systems subject to fatal shocks 致命冲击下k-out- n系统的预防性维护

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-12 DOI: 10.1177/1748006x221147331

S. Ashrafi, M. Asadi, Razieh Rostami

引用次数: 0

A two-stage Gaussian process regression model for remaining useful prediction of bearings 轴承剩余有用预测的两阶段高斯过程回归模型

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-12 DOI: 10.1177/1748006x221141744

Jin Cui, Licai Cao, Tianxiao Zhang

{"title":"A two-stage Gaussian process regression model for remaining useful prediction of bearings","authors":"Jin Cui, Licai Cao, Tianxiao Zhang","doi":"10.1177/1748006x221141744","DOIUrl":"https://doi.org/10.1177/1748006x221141744","url":null,"abstract":"Bearing is one of the most important supporting components in mechanical equipment and its health status has a significant impact on the overall performance of equipment. The remaining useful life (RUL) prediction of bearings is critical in adopting a condition-based maintenance strategy to ensure reliable equipment operation. To accurately predict the RUL of bearings, this paper proposes a two-stage Gaussian process regression (GPR) model, which combines the flexibility of the Gaussian process and the physical mechanism of the Wiener process. Compared with the conventional GPR model, the proposed model can reasonably adapt to the statistical characteristics of bearings degradation and provide more stable predictions. In addition, the paper proposes a new degradation detection approach based on the Euclidean distance to distinguish the two stages of the bearing service life cycle, which considers the global characteristics of bearing degradation and can accurately detect the beginning point of bearing degradation. The experimental results show that the proposed two-stage GPR model can help to improve the precision and accuracy of degradation path tracking and RUL prediction.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"31 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81462952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Application of self-attention conditional deep convolutional generative adversarial networks in the fault diagnosis of planetary gearboxes 自关注条件深度卷积生成对抗网络在行星齿轮箱故障诊断中的应用

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-12 DOI: 10.1177/1748006x221147784

Jia Luo, Jingying Huang, Jiancheng Ma, Siyuan Liu

{"title":"Application of self-attention conditional deep convolutional generative adversarial networks in the fault diagnosis of planetary gearboxes","authors":"Jia Luo, Jingying Huang, Jiancheng Ma, Siyuan Liu","doi":"10.1177/1748006x221147784","DOIUrl":"https://doi.org/10.1177/1748006x221147784","url":null,"abstract":"The Generative Adversarial Network (GAN) can generate samples similar to the original data to solve the problem of fault sample imbalance in planetary gearbox fault diagnosis. Most of models rely heavily on convolution to model the dependencies across feature vectors of vibration signals. However, the characterization ability of convolution operator is limited by the size of convolution kernel and it cannot capture the long-distance dependence in the original data. In this paper, self-attention is introduced into Conditional Deep Convolutional Generative Adversarial Networks (C-DCGAN). In the model, vibration features are dynamically weighted and merged, so that it can adaptively focus “attention” on different times to solve the problem of sample differences caused by time-varying vibration signals. Finally, the proposed method is verified on the planetary gearbox experiment and the quality of the generated signal samples is evaluated with Dynamic Time Warping (DTW) algorithm. The visual experimental results indicated that the proposed model performed better than conditional deep convolutional generative adversarial networks (C-DCGAN) and could accurately diagnose various working states of planetary gearboxes.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"15 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90791276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Combining first prediction time identification and time-series feature window for remaining useful life prediction of rolling bearings with limited data 结合首次预测时间识别和时间序列特征窗的有限数据滚动轴承剩余使用寿命预测

IF 2.1 4区工程技术

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-01-12 DOI: 10.1177/1748006x221147441

Hai Li, Chaoqun Wang

{"title":"Combining first prediction time identification and time-series feature window for remaining useful life prediction of rolling bearings with limited data","authors":"Hai Li, Chaoqun Wang","doi":"10.1177/1748006x221147441","DOIUrl":"https://doi.org/10.1177/1748006x221147441","url":null,"abstract":"Limited data are common in the problem of remaining life prediction (RUL) of rolling bearings, and the distribution of degradation data of rolling bearings under different working conditions is quite different, which makes it difficult to predict the RUL of rolling bearings with limited data. To address this issue, this study combines first prediction time identification (FPT) and time-series feature window (TSFW) for predicting the RUL of rolling bearings with limited data. Firstly, the proper first prediction time is identified by a novel FPT identification method considering root mean square and Kurtosis simultaneously. Subsequently, to accurately capture the sequential characteristics of bearing degradation data, the TSFW is constructed and then adaptively compressed considering degradation factor that is derived mathematically. Based on this, this study employs multi-step ahead rolling prediction strategy with degradation factor from FPT to reveal the future degradation trend and then predict the bearing RUL. Finally, the feasibility and generalization of the proposed method under limited data is validated by carrying out several rolling bearing experiments, and the prediction errors for two representative bearings are 14.46% and 8.06%.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":"94 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72859603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2