Machine set up procedure using multivariate modeling and multiobjective optimization
First Claim
1. In an electrostatographic printing machine having operating components with changeable set point parameters, a method setting up the machine using multivariate modeling and multiobjective optimization comprising the steps of:
- providing a discrete number of parameter settings and printing test patterns based upon said parameter settings,scanning the test patterns and producing a set of image quality values based upon the parameter settings,responding to the parameter settings and the image quality values and using a multivariate adaptive regression splines technique to provide a model of the printing machine image quality, anddetermining the optimum parameter settings for the printing machine from the discrete number of parameter settings to produce consistent image quality.
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Abstract
A method of setting up an electrostatographic printing machine having image quality attributes and parameters that control the attributes using multivariate modeling and multiobjective optimization. The method includes providing a discrete number of parameter settings and printing test patterns based upon the parameter settings. The test patterns are scanned to produce a set of image quality values. Using a multivariate adaptive regression splines technique, a model of the printing machine image quality is provided in response to the parameter settings and the image quality values. Optimum parameter settings for the printing machine are then determined from the discrete number of parameter settings to produce consistent image quality.
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Citations
19 Claims
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1. In an electrostatographic printing machine having operating components with changeable set point parameters, a method setting up the machine using multivariate modeling and multiobjective optimization comprising the steps of:
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providing a discrete number of parameter settings and printing test patterns based upon said parameter settings, scanning the test patterns and producing a set of image quality values based upon the parameter settings, responding to the parameter settings and the image quality values and using a multivariate adaptive regression splines technique to provide a model of the printing machine image quality, and determining the optimum parameter settings for the printing machine from the discrete number of parameter settings to produce consistent image quality. - View Dependent Claims (2, 3)
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4. In an electrostatographic printing machine having image quality attributes denoted by a vector p={p1,p2, . . . , pn } and parameters used to setup the machine denoted by x={x1,x2, . . . , xm }, a method of finding appropriate values of each parameter such that the image quality attributes attain desired values comprising the steps of:
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identifying the m variables x that affect the n image quality attributes p under consideration, identifying the range of each variable x between which it can vary, providing a set of experiments by varying the variables x between respective ranges using orthogonal arrays, running the machine at different experimental value setting as defined by the orthogonal arrays and measuring the different image quality for each experimental setting, determining a functional model describing the relationship between each attribute p and the variables x, upon determining the relationships between image quality attributes and the parameters x, using a multiobjective optimization methodology to obtain a Pareto-optimal setpoint that gives a desired set of image quality attributes, and in response to a significant conflict in simultaneously obtaining desired image quality attributes, using an interactive multiobjective optimization technique for trading off one image quality attribute in a Pareto-optimal fashion with another until a desired Pareto-optimal solution has been obtained. - View Dependent Claims (5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. In an electrostatographic printing machine having image quality attributes and parameters used to setup the machine, a method of finding appropriate values of each parameter such that the image quality attributes attain desired values comprising the steps of:
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identifying the variables that affect the image quality attributes under consideration, identifying the range of each variable, varying the variables between ranges using orthogonal arrays, running the machine at different value settings as defined by the orthogonal arrays and measuring the different image quality for each setting, determining a functional model describing the relationship between each attribute and the variables, and using a multiobjective optimization methodology to obtain optimal setpoints giving a desired set of image quality attributes. - View Dependent Claims (15, 16, 17)
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18. In an electrostatographic printing machine having image quality attributes and parameters used to setup the machine, a method of finding appropriate values of each parameter such that the image quality attributes attain desired values comprising the steps of:
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identifying variables that affect the image quality attributes, running the machine at different value settings measuring the different image quality for each setting, determining a functional model describing the relationship between each attribute and the variables, and using a multiobjective optimization methodology, obtaining optimal setpoints giving a desired set of image quality attributes.
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19. In an electrostatographic printing machine having image quality attributes and parameters used to setup the machine, a method of finding appropriate values of each parameter such that the image quality attributes attain desired values comprising the steps of:
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identifying variables that affect the image quality attributes, running the machine at different value settings measuring the different image quality for each setting, determining a functional model describing the relationship between each attribute and the variables, and obtaining optimal setpoints giving a desired set of image quality attributes.
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Specification