Smart material actuators as a contributor for IoT-based smart applications and systems: Analyzing prototype and process measurement data of shape memory actuators for reliability and risk prognosis
暂无分享，去创建一个
[1] W. Nelson. Statistical Methods for Reliability Data , 1998 .
[2] D. Lagoudas. Shape memory alloys : modeling and engineering applications , 2008 .
[3] Hicham Lakhlef,et al. Distributed Fine-Grained Secure Control of Smart Actuators in Internet of Things , 2017, 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC).
[4] Stefan Bracke,et al. Early identification of manufacturing process influences on product failure behaviour based on small field data volume , 2012 .
[5] J. Schmee. Applied Statistics—A Handbook of Techniques , 1984 .
[6] J. Van Humbeeck,et al. Shape Memory Alloys: A Material and a Technology , 2001 .
[7] J. N. Reddy,et al. Design of Shape Memory Alloy (SMA) Actuators , 2015 .
[8] Douglas A. Wolfe,et al. Nonparametric Statistical Methods , 1973 .
[9] Stefan Bracke,et al. Reliability and degradation analysis of smart material actuators , 2019 .
[10] Alessandro Birolini. Reliability Engineering: Theory and Practice , 1999 .
[11] Ronald K. Pearson. Data cleaning for dynamic modeling and control , 1999, 1999 European Control Conference (ECC).
[12] W. Meeker. Accelerated Testing: Statistical Models, Test Plans, and Data Analyses , 1991 .