Quality Engineering最新文献_第6页

Contextual anomaly detection for multivariate time series data 多元时间序列数据的上下文异常检测

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-02-28 DOI: 10.1080/08982112.2023.2179404

Hyojoon Kim, Heeyoung Kim

{"title":"Contextual anomaly detection for multivariate time series data","authors":"Hyojoon Kim, Heeyoung Kim","doi":"10.1080/08982112.2023.2179404","DOIUrl":"https://doi.org/10.1080/08982112.2023.2179404","url":null,"abstract":"Abstract With the advancement of sensing technologies, sensor data collected over time have become more useful for detecting anomalies in underlying processes and systems. Sensor data are often affected by contextual variables, such as equipment settings, and can have different patterns, even in normal states depending on the contextual variables. Motivated by this problem, we propose a contextual anomaly detection method for multivariate time series data. We first build a prediction model using training data consisting of only normal observations, and then perform anomaly detection based on the prediction errors for future observations. The prediction model is based on a long short-term memory (LSTM) network that can flexibly model complex relationships between variables as well as temporal correlations between successive time points using the high expressive power of deep recurrent neural networks. In particular, to incorporate the contextual information while ensuring that it does not propagate over time but affects the response data only at specific target time points, we extend the standard LSTM by adding a layer for the contextual variables separately for each time step. The performance of the proposed method was verified with several open-source datasets and a real dataset from a global tire company.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"686 - 695"},"PeriodicalIF":2.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48897207","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

Remembering George EP Box in Quality Quandaries: great ideas, practical advice, clearly presented 怀念乔治的EP盒子：伟大的想法，实用的建议，清晰的呈现

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-02-21 DOI: 10.1080/08982112.2023.2179924

Pere Grima, L. Marco-Almagro, X. Tort-Martorell

引用次数: 0

Improved detection of subsurface defects through active thermography and ensembling techniques 通过主动热成像和集成技术改进了对亚表面缺陷的检测

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-02-14 DOI: 10.1080/08982112.2023.2177871

Darío G. Lema, Oscar D. Pedrayes, R. Usamentiaga, D. García

{"title":"Improved detection of subsurface defects through active thermography and ensembling techniques","authors":"Darío G. Lema, Oscar D. Pedrayes, R. Usamentiaga, D. García","doi":"10.1080/08982112.2023.2177871","DOIUrl":"https://doi.org/10.1080/08982112.2023.2177871","url":null,"abstract":"Abstract Quality control and defect detection are major challenges in industrial environments. The localization of these defects is of crucial importance, as they can affect the performance of manufactured products and even the safety of people. Defect detection methods based on visual sensors and image processing are nowadays the most common approaches. To detect subsurface defects it is common to combine active thermography and deep learning. In this paper, PCT (Principal Components Thermography) is employed to enhance the SNR (signal-to-noise ratio), leading to a significant improvement in the results. Recent developments in this field apply deep learning models for semantic segmentation and object detection. However, the quality of the predictions is not enough to ensure that all quality controls are met. In this paper, a combination of semantic segmentation and object detection is proposed to increase the reliability of predictions. To carry out this combination, a working methodology and two new ensembling strategies are proposed. After comparing the results of the proposed combination with the results of using only semantic segmentation methods in a real industrial scenario, where carbon fiber sheets are used, it is found that the proposal improves the segmentation metrics by a 5% to a 24%. Thus the reliability of the predictions is improved.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"669 - 685"},"PeriodicalIF":2.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44706244","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

Data-driven maintenance priority recommendations for civil aircraft engine fleets using reliability-based bivariate cluster analysis 基于可靠性的双变量聚类分析用于民用航空发动机机队的数据驱动维修优先级建议

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-02-02 DOI: 10.1080/08982112.2022.2163179

Hang Zhou, A. Parlikad, A. Brintrup

引用次数: 1

Monitoring processes with multiple dependent production lines using time between events control charts 使用事件间隔时间控制图监控多个相关生产线的过程

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-02-01 DOI: 10.1080/08982112.2023.2169161

Hussam Ahmad, Adel Ahmadi Nadi, Mohammad Amini, B. Sadeghpour Gildeh

引用次数: 0

An approach to non-homogenous phase-type distributions through multiple cut-points 多切点非均匀相位型分布的一种方法

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-01-13 DOI: 10.1080/08982112.2023.2168202

J. E. Ruiz-Castro, Christian Acal, J. Roldán

{"title":"An approach to non-homogenous phase-type distributions through multiple cut-points","authors":"J. E. Ruiz-Castro, Christian Acal, J. Roldán","doi":"10.1080/08982112.2023.2168202","DOIUrl":"https://doi.org/10.1080/08982112.2023.2168202","url":null,"abstract":"Abstract A new class of distributions based on phase-type distributions is introduced in the current paper to model lifetime data in the field of reliability analysis. This one is the natural extension of the distribution proposed by Acal et al. (One cut-point phase-type distributions in reliability. An application to resistive random access memories. Mathematics 9(21):2734, 2021) for more than one cut-point. Multiple interesting measures such as density function, hazard rate or moments, among others, were worked out both for the continuous and discrete case. Besides, a new EM-algorithm is provided to estimate the parameters by maximum likelihood. The results have been implemented computationally in R and simulation studies reveal that this new distribution reduces the number of parameters to be estimated in the optimization process and, in addition, it improves the fitting accuracy in comparison with the classical phase-type distributions, especially in heavy tailed distributions. An application is presented in the context of resistive memories with a new set of electron devices for nonvolatile memory circuits. In particular, the voltage associated with the resistive switching processes that control the internal behavior of resistive memories has been modeled with this new distribution to shed light on the physical mechanisms behind the operation of these memories.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"619 - 638"},"PeriodicalIF":2.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59458786","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

Simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles with a new adaptive Shewhart-type control chart 用一种新的自适应Shewhart型控制图同时监测多元线性剖面的均值向量和协方差矩阵

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-01-13 DOI: 10.1080/08982112.2022.2164725

H. Sabahno, A. Amiri

{"title":"Simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles with a new adaptive Shewhart-type control chart","authors":"H. Sabahno, A. Amiri","doi":"10.1080/08982112.2022.2164725","DOIUrl":"https://doi.org/10.1080/08982112.2022.2164725","url":null,"abstract":"Abstract There has been a growing interest in research regarding monitoring a process through a regression model (called a profile) rather than a simple quality characteristic. This paper proposes a new monitoring scheme to simultaneously monitor the multivariate multiple linear profiles’ parameters. This scheme is based on the Shewhart control chart concept and only has one single (max-type) control chart for monitoring regression coefficients and error’s variation, which uses a new statistic to improve the variability (error’s variance-covariance matrix) shift detection in multivariate profiles. To increase the sensitivity and capability of the proposed scheme, especially in detecting small to moderate shift sizes, we add a variable parameters (VP) adaptive scheme to the developed control chart as well, considering that no adaptive monitoring schemes have so far been developed for monitoring the multivariate multiple linear profiles and neither are there any VP adaptive features for all profile monitoring schemes. Next, we develop a Markov chain model to compute the time to signal and run length performance measures. After that, we perform extensive numerical analyses to first compare the proposed control chart with the best available control charts and then evaluate its performance under different shift scenarios as well as different dimensions. The results show that the new monitoring scheme performs well compared to the best available monitoring schemes, and more importantly, it is more applicable in real practice. Finally, an illustrative example is presented to show the implementation of the proposed scheme in practice.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"600 - 618"},"PeriodicalIF":2.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41972869","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

Leveraging what you know: Versatile space-filling designs 利用你所知道的:多用途的空间填充设计

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-01-03 DOI: 10.1080/08982112.2022.2161394

Lu Lu, C. Anderson‐Cook

引用次数: 1

Functional data analysis and nonlinear regression models: an information quality perspective 功能数据分析和非线性回归模型:信息质量视角

IF 2 4区工程技术

Quality Engineering Pub Date : 2023-01-03 DOI: 10.1080/08982112.2022.2153696

R. Kenett, C. Gotwalt

引用次数: 1

A case study: Eliminating nuisance within-part variation in assessing a measurement system 一个案例研究:在评估一个测量系统时消除部分内的有害变化