Results 241 to 250 of about 1,565,682 (342)

Ultra-precision control of dual-axis scanning mechanism based on PSO-RBF neural network. [PDF]

Sci Rep
Fan J, Xu B, Zhang D, Cui J.
europepmc   +1 more source

Fault diagnosis using ISMA to optimize SVM parameters for aircraft engine damage repair. [PDF]

Sci Rep
Xue P, Yu J, Zhang H.
europepmc   +1 more source

Fitting generalized Gaussian distributions for process capability index

, 2016
Beelen, T.G.J., Dohmen, J.J., ter Maten, E.J.W., Tasic, B.   +3 more
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A new multivariate process capability index

Total Quality Management & Business Excellence, 2017
Multivariate process capability indices are applied to account the capability of the processes which the quality of the products depends on two or more related characteristics. We call a tolerance region asymmetric, when the target value of at least one characteristic is not the mid-point of the tolerance interval.
Zainab Abbasi Ganji, Bahram Sadeghpour Gildeh   +1 more
openaire   +2 more sources

Uses of a new asymmetric loss-based process capability index in the electronic industries

Communications in Statistics: Case Studies, Data Analysis and Applications, 2023
This article suggests a novel process capability index (PCI) termed as , which is based on an asymmetric loss function (linear exponential) for a normal process and offers a specific method of incorporating the loss in capability analysis.
Mahendra Saha, S. Dey
semanticscholar   +1 more source

Robust confidence intervals for the process capability index Cpk with bootstrap improvement

Quality Engineering, 2023
The process capability index (PCI), Cpk, one of the widely used tools for assessing the capability of a manufacturing process, expresses the deviation of the process mean from the midpoint of the specification limits.
Linhan Ouyang, S. Dey, Chanseok Park
semanticscholar   +1 more source

Process capability index Cpm under autoregressive process AR (2)

International Journal of Quality & Reliability Management, 2023
PurposeThe paper aims to identify the effect of ignorance of correlatedness among process observations and to implement new sampling schemes; skip and mixed sampling, in order to reduce the effect of autocorrelation on process capability index (PCI) Cpm ...
Vikas B. Ghute, Mahesh Deshpande
semanticscholar   +1 more source