Movatterモバイル変換


[0]ホーム

URL:


Nguyen et al., 2023 - Google Patents

The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables

Nguyen et al., 2023

ViewPDF
Document ID
16369296839400078908
Author
Nguyen H
Nadi A
Tran K
Castagliola P
Celano G
Tran K
Publication year
Publication venue
International Journal of Production Research

External Links

Snippet

In many industrial manufacturing processes, the quality of products can depend on the relative amount between two quality characteristics X and Y. Often, this calls for the on-line monitoring of the ratio Z= X/Y as a quality characteristic itself by means of a control chart. A …
Continue reading athal.science (PDF) (other versions)

Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks

Similar Documents

PublicationPublication DateTitle
Nguyen et al.The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables
WoodallCurrent research on profile monitoring
Tran et al.The performance of the Shewhart-RZ control chart in the presence of measurement error
JP4394286B2 (en) Multidimensional method and system for statistical process management
Ebadi et al.Evaluation of process capability in multivariate simple linear profiles
Ait-Izem et al.Sensor fault detection based on principal component analysis for interval-valued data
Nguyen et al.CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables
Shu et al.Effects of estimation errors on cause-selecting charts
Ahmad et al.On median control charting under double sampling scheme
Awais et al.An EWMA chart for monitoring process mean
Saleh et al.A review and critique of auxiliary information-based process monitoring methods
da Costa Quinino et al.Monitoring the process mean based on attribute inspection when a small sample is available
Carson et al.Exponentially weighted moving average (EWMA) control charts for monitoring an analytical process
Kordestani et al.Monitoring multivariate simple linear profiles using robust estimators
Hussain et al.On a class of mixed EWMA‐CUSUM median control charts for process monitoring
Taboran et al.A new nonparametric Tukey MA-EWMA control charts for detecting mean shifts
Wu et al.A control chart for monitoring process mean based on attribute inspection
Jafari et al.A high-dimensional control chart for monitoring process variability under gauge imprecision effect
Haq et al.A maximum dual CUSUM chart for joint monitoring of process mean and variance
Riaz et al.Effect of measurement error on joint monitoring of process mean and coefficient of variation
Snoussi et al.On SPC for short run autocorrelated data
Nuriman et al.Auxiliary information based generally weighted moving coefficient of variation (AIB-GWMCV) control chart
Yao et al.Fisher information in moving extreme ranked set sampling with application to parameter estimation
Liao et al.Process capability monitoring and change-point analysis for S-type quality characteristic
Guo et al.Fault diagnosis combining information entropy with transfer entropy for chemical processes

[8]
ページ先頭

©2009-2025 Movatter.jp