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Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis 基于多信号分析的深度学习数控铣刀磨损阶段估计
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-06-13 DOI: 10.17531/ein/168082
Y. E. karabacak
{"title":"Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis","authors":"Y. E. karabacak","doi":"10.17531/ein/168082","DOIUrl":"https://doi.org/10.17531/ein/168082","url":null,"abstract":"In this work, the convolutional neural network (CNN), which is a deep learning method in which the features are extracted by an inner process, was performed to detect the wear stages of the milling tool. These stages that define the total lifespan of the tool are known as initial wear (IW), steady-state wear (SSW), and accelerated wear (AW). Short Time Fourier Transform (STFT) was applied to signals, and signal spectrograms were used to train CNN models with different complex architectures. Vibration signals, acoustic emission signals, and motor current signals from The Nasa Ames Milling Dataset were used to obtain the spectrograms. Pre-trained CNNs (GoogleNet, AlexNet, ResNet-50, and EfficientNet-B0) detected the tool wear stage with varying accuracies. It has been seen that the time duration of model training increases as the size of the dataset grows and the network architecture becomes more complex. The recommended method has also been tested on the 2010 PHM Data Challenge Dataset. CNN shows promise for condition monitoring of milling operations and detecting tool wear stage.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149544","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
Comparative analysis of small size non-pneumatic tires and pneumatic tires - radial stiffness and hysteresis, selected parameters of the contact patch 对比分析了小尺寸非充气轮胎和充气轮胎的径向刚度和滞回，选取了接触贴片的参数
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-06-12 DOI: 10.17531/ein/167362
J. Jackowski, M. Żmuda, M. Wieczorek
{"title":"Comparative analysis of small size non-pneumatic tires and pneumatic tires - radial stiffness and hysteresis, selected parameters of the contact patch","authors":"J. Jackowski, M. Żmuda, M. Wieczorek","doi":"10.17531/ein/167362","DOIUrl":"https://doi.org/10.17531/ein/167362","url":null,"abstract":"Nowadays, non-pneumatic tires are becoming an increasingly likely alternative to pneumatic tires. The function of compressed air has been taken over by the belt and the elastic structure (materials used and shape of the components). The research presented in the paper was carried out in quasi-static conditions. The research's aim was to compare the radial stiffness, hysteresis and selected parameters of the contact patch of two non-pneumatic tires and four pneumatic tires used interchangeably in ATVs/UTVs. Analizowane opony niepneumatyczne charakteryzują się większą sztywnością radialną niż opony pneumatyczne tego samego rozmiaru. The analyzed non-pneumatic tire with a cellular structure has the highest hysteresis of the radial characteristics of the tested wheels and the highest values of the unit pressure in the area of contact patch. The paper also verified two methods of calculating the contact patch length of non-pneumatic tires.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274992","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
Aircraft Bleed Air System Fault Prediction based on Encoder-Decoder with Attention Mechanism 基于注意机制的飞机引气系统故障预测
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-06-12 DOI: 10.17531/ein/167792
Siyu Su, Youchao Sun, Chong Peng, Yifan Wang
{"title":"Aircraft Bleed Air System Fault Prediction based on Encoder-Decoder with Attention Mechanism","authors":"Siyu Su, Youchao Sun, Chong Peng, Yifan Wang","doi":"10.17531/ein/167792","DOIUrl":"https://doi.org/10.17531/ein/167792","url":null,"abstract":"The engine bleed air system (BAS) is one of the important systems for civil aircraft, and fault prediction of BAS is necessary to improve aircraft safety and the operator's profit. A dual-stage two-phase attention-based encoder-decoder (DSTP-ED) prediction model is proposed for BAS normal state estimation. Unlike traditional ED networks, the DSTP-ED combines spatial and temporal attention to better capture the spatiotemporal relationships to achieve higher prediction accuracy. Five data-driven algorithms, autoregressive integrated moving average (ARIMA), support vector regression (SVR), long short-term memory (LSTM), ED, and DSTP-ED, are applied to build prediction models for BAS. The comparison experiments show that the DSTP-ED model outperforms the other four data-driven models. An exponentially weighted moving average (EWMA) control chart is used as the evaluation criterion for the BAS failure warning. An empirical study based on Quick Access Recorder (QAR) data from Airbus A320 series aircraft demonstrates that the proposed method can effectively predict failures.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114115760","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
Mean residual lifetime assessment approach for a multi-state standby system 多状态备用系统的平均剩余寿命评估方法
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-28 DOI: 10.17531/ein/166328
Ebru Karadayi, Iscioglu Funda
{"title":"Mean residual lifetime assessment approach for a multi-state standby system","authors":"Ebru Karadayi, Iscioglu Funda","doi":"10.17531/ein/166328","DOIUrl":"https://doi.org/10.17531/ein/166328","url":null,"abstract":"In this paper, a new MRL assessment approach for a multi-state standby system is considered. The three-state system is backed up with a binary cold standby unit. Given that the system is at a specific state at time t, obtaining the MRL is worth considering in conducting the maintenance and repair plans of the system. For different degradation rates and time points, MRL results are examined. An HCTMP is considered for the degradation. Therefore, when the system is observed to be at its perfect state, the MRL decrease with an increase in all the failure rates of the system. However, when the system is observed to be at its partial state, the MRL is not affected by the increase in the failure rate pertained to the perfect state. The MRL when the system has known to be failed before time t and backed up with the standby unit increases with the time increase whereas the MRL when the system is at its perfect(or partial) state is constant when time increases. Moreover, cost evaluation of the system is analyzed. The results are supported with numerical examples and graphical representations.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126198805","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
Open-source Software Reliability Modeling with Stochastic Impulsive Differential Equations 基于随机脉冲微分方程的开源软件可靠性建模
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-21 DOI: 10.17531/ein/166342
Zhoutao Zheng, Jianfeng Yang, Yao Hu, Xibin Wang
{"title":"Open-source Software Reliability Modeling with Stochastic Impulsive Differential Equations","authors":"Zhoutao Zheng, Jianfeng Yang, Yao Hu, Xibin Wang","doi":"10.17531/ein/166342","DOIUrl":"https://doi.org/10.17531/ein/166342","url":null,"abstract":"In reality, sudden updates of software, attacks of hackers, influence of the Internet market, etc. can cause a surge in the number of open-source software (OSS) faults (this moment is the time when impulse occurs), which results in impulsive phenomenon. For the existing software reliability models, dynamic process of software fault is considered to be continuous when assessing reliability, but continuity of the process can be disrupted with appearance of random impulses. Thus, to more accurately assess software reliability, we proposed an OSS reliability model with SIDE. In the model, dynamic process of software fault is divided into a continuous and a skipped part, described the continuous part of the process with SDE, and described destruction of the continuity caused by unpredictable random events with random impulses. Finally, the proposed model is verified with two datasets from real OSS project, and the results show that the proposed model is more in line with reality and has better fitting effect than the existing models.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128702111","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
Time-frequency Representation -enhanced Transfer Learning for Tool Condition Monitoring during milling of Inconel 718 基于时频表示的Inconel 718铣削刀具状态监测迁移学习
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-14 DOI: 10.17531/ein/165926
Yuqing Zhou, Wei Sun, Canyang Ye, Bihui Peng, Xu Fang, Canyu Lin, Gonghai Wang, Anil Kumar, Weifang Sun
{"title":"Time-frequency Representation -enhanced Transfer Learning for Tool Condition Monitoring during milling of Inconel 718","authors":"Yuqing Zhou, Wei Sun, Canyang Ye, Bihui Peng, Xu Fang, Canyu Lin, Gonghai Wang, Anil Kumar, Weifang Sun","doi":"10.17531/ein/165926","DOIUrl":"https://doi.org/10.17531/ein/165926","url":null,"abstract":"Accurate tool condition monitoring (TCM) is important for the development and upgrading of the manufacturing industry. Recently, machine-learning (ML) models have been widely used in the field of TCM with many favorable results. Nevertheless, in the actual industrial scenario, only a few samples are available for model training due to the cost of experiments, which significantly affects the performance of ML models. A time-series dimension expansion and transfer learning (TL) method is developed to boost the performance of TCM for small samples. First, a time-frequency Markov transition field (TFMTF) is proposed to encode the cutting force signal in the cutting process to two-dimensional images. Then, a modified TL network is established to learn and classify tool conditions under small samples. The performance of the proposed TFMTF-TL method is demonstrated by the benchmark PHM 2010 TCM dataset. The results show the proposed method effectively obtains superior classification accuracies for small samples and outperforms other four benchmark methods.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124460302","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: 2
A mechanism reliability analysis method considering environmental influence and failure modes’ correlation: a case study of rifle automaton 考虑环境影响和失效模式相关性的机构可靠性分析方法——以步枪自动机为例
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-14 DOI: 10.17531/ein/166145
Yijiang Fang, Yong-juan Wang, Jin-long Sha, Tong-guang Gu, He Zhang
{"title":"A mechanism reliability analysis method considering environmental influence and failure modes’ correlation: a case study of rifle automaton","authors":"Yijiang Fang, Yong-juan Wang, Jin-long Sha, Tong-guang Gu, He Zhang","doi":"10.17531/ein/166145","DOIUrl":"https://doi.org/10.17531/ein/166145","url":null,"abstract":"In order to overcome the challenge of quantifying the influence of environmental conditions and the coexistence of multiple failure modes involved in mechanism reliability modelling under different environments. In this paper, we propose a method for the analysis of mechanism reliability that takes into account the influence of environmental factors and failure modes’ correlation, quantifies the influence of environmental factors as the random distribution and degradation path of parameters, and derives the Copula description of failure mode correlation from the historical data of environmental experiments. On the basis of the discrete mechanism dynamics model, the output parameters of the characteristic points are calculated, and the failure rate of each failure mode is calculated based on the failure criterion and the performance margin theory. Additionally, the dynamic change pattern of the mechanism reliability is compared with the Kaplan-Meier estimation of the corresponding environmental test history data to assess the validity of the calculation results. The reliability modelling problem of a motion mechanism of an automatic rifle automaton in a high and low temperature environment is applied to the method, and the reliability calculation results are close to those of Kaplan-Meier estimation of the test history data, and all are within the upper and lower bounds given by the reliability boundary theory, demonstrating the method's validity.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127844109","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
Modeling and Identification Method of Bolt Loosening of Joint Surface under Axial Tension of Multistage Disk-Drum Rotor 多级盘鼓转子轴向拉力作用下结合面螺栓松动建模及识别方法
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-05 DOI: 10.17531/ein/165779
C. Yue, X. Zheng, Chaoge Wang, Hao Liu, Hu Chen
{"title":"Modeling and Identification Method of Bolt Loosening of Joint Surface under Axial Tension of Multistage Disk-Drum Rotor","authors":"C. Yue, X. Zheng, Chaoge Wang, Hao Liu, Hu Chen","doi":"10.17531/ein/165779","DOIUrl":"https://doi.org/10.17531/ein/165779","url":null,"abstract":"Individual bolt at key connection positions is prone to loose when the engine is cycle-operating under complex loads. A joint surface equivalent stiffness model is derived and developed based on the connection characteristics of bolt screwing in the multi-exciting environment of the high pressure rotor. The model is used to analyze the effect of bolt missing at circumferential positions with the equivalent stiffness loss. Vibration experiments under both axial force and lateral impact were carried out to obtain the dynamic response feature of the multistage disk-drum simulated rotor with missing one bolt at different positions. The Spearman correlation coefficient was applied to evaluate the identification effect of different measuring points on the bolt loosening position. The study shows that the eigenfrequencies of experimental results have a consistent trend with the equivalent stiffness variation caused by single bolt missing model. This method also provides a theoretical basis for the detection of bolt deviation position with multi-exciting vibration detection.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793541","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
Investigation of exhaust emissions from the gasoline engine of a light duty vehicle in the Real Driving Emissions test 轻型汽车汽油机尾气排放试验研究
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-05-04 DOI: 10.17531/ein/165880
M. Andrych-Zalewska, Z. Chłopek, J. Pielecha, J. Merkisz
{"title":"Investigation of exhaust emissions from the gasoline engine of a light duty vehicle in the Real Driving Emissions test","authors":"M. Andrych-Zalewska, Z. Chłopek, J. Pielecha, J. Merkisz","doi":"10.17531/ein/165880","DOIUrl":"https://doi.org/10.17531/ein/165880","url":null,"abstract":"The article contains the research results and analysis of the processes that take place as part of a gasoline engine light duty vehi-cle Real Driving Emissions test. Dimensionless characteristics of exhaust emission and fuel mass consumption in the RDE test were also determined: emission intensity, particle number emission intensity, fuel mass consumption intensity. An algorithm for determining the characteristics specific distance pollutant emission, specific distance particle number and specific distance fuel mass consumption in the vehicle speed domain in the RDE test was presented using the Monte Carlo method. The determined characteristics were approximated by polynomial functions in the form of sets of points. These relationships were characterized by a large dispersion of values, which was primarily due to the fact that the random values of the averaging limits contain very different engine operating conditions.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147167","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
Interval Prediction of Remaining Useful Life based on Convolutional Auto-Encode and Lower Upper Bound Estimation 基于卷积自编码和下界估计的剩余使用寿命区间预测
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2023-04-28 DOI: 10.17531/ein/165811
Yi Lyu, Qichen Zhang, Aiguo Chen, Zhenfei Wen
{"title":"Interval Prediction of Remaining Useful Life based on Convolutional Auto-Encode and Lower Upper Bound Estimation","authors":"Yi Lyu, Qichen Zhang, Aiguo Chen, Zhenfei Wen","doi":"10.17531/ein/165811","DOIUrl":"https://doi.org/10.17531/ein/165811","url":null,"abstract":"Deep learning is widely used in remaining useful life (RUL) prediction\u0000because it does not require prior knowledge and has strong nonlinear\u0000fitting ability. However, most of the existing prediction methods are\u0000point prediction. In practical engineering applications, confidence\u0000interval of RUL prediction is more important for maintenance strategies.\u0000This paper proposes an interval prediction model based on Long ShortTerm Memory (LSTM) and lower upper bound estimation (LUBE) for\u0000RUL prediction. First, convolutional auto-encode network is used to\u0000encode the multi-dimensional sensor data into one-dimensional features,\u0000which can well represent the main degradation trend. Then, the features\u0000are input into the prediction framework composed of LSTM and LUBE\u0000for RUL interval prediction, which effectively solves the defect that the\u0000traditional LUBE network cannot analyze the internal time dependence\u0000of time series. In the experiment section, a case study is conducted using\u0000the turbofan engine data set CMAPSS, and the advantage is validated by\u0000carrying out a comparison with other methods.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122128894","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
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