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Original Articles

Discussion of “Reliability Meets Big Data: Opportunities and Challenges”

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Yihai He, Linbo Wang, Zhenzhen He & Xun Xiao. (2016) Modelling infant failure rate of electromechanical products with multilayered quality variations from manufacturing process. International Journal of Production Research 54:21, pages 6594-6612.
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WilliamQ. Meeker & Yili Hong. (2014) Rejoinder. Quality Engineering 26:1, pages 127-129.
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Articles from other publishers (9)

Terje Aven. (2021) The reliability science: Its foundation and link to risk science and other sciences. Reliability Engineering & System Safety 215, pages 107863.
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Qadeer Ahmed, Syed Asif Raza & Dahham M. Al‐Anazi. (2020) Reliability‐based fault analysis models with industrial applications: A systematic literature review. Quality and Reliability Engineering International 37:4, pages 1307-1333.
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Zhenzhen He, Yihai He, Fengdi Liu & Yixiao Zhao. (2019) Big Data-Oriented Product Infant Failure Intelligent Root Cause Identification Using Associated Tree and Fuzzy DEA. IEEE Access 7, pages 34687-34698.
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Liangwei Zhang, Jing Lin & Ramin Karim. (2018) Adaptive kernel density-based anomaly detection for nonlinear systems. Knowledge-Based Systems 139, pages 50-63.
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Elaheh Gholamzadeh Nabati & Klaus Dieter Thoben. 2017. Dynamics in Logistics. Dynamics in Logistics 131 140 .
Zhenzhen He, Yihai He & Yi Wei. (2016) Big data oriented root cause identification approach based on PCA and SVM for product infant failure. Big data oriented root cause identification approach based on PCA and SVM for product infant failure.
Jing Lin. 2016. Current Trends in Reliability, Availability, Maintainability and Safety. Current Trends in Reliability, Availability, Maintainability and Safety 575 585 .
Zhenzhen He, Yihai He & Lingbo Wang. (2015) Root Causes Identification Approach Based on Association Rule Mining for Product Infant Failure. Root Causes Identification Approach Based on Association Rule Mining for Product Infant Failure.
Liangwei Zhang, Jing Lin & Ramin Karim. (2015) An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection. Reliability Engineering & System Safety 142, pages 482-497.
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