Adaptive miniumum variance control system with embedded diagnostic feature

US9158643B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9158643-B2
Application numberUS-201213405388-A
CountryUS
Kind codeB2
Filing dateFeb 27, 2012
Priority dateFeb 27, 2012
Publication dateOct 13, 2015
Grant dateOct 13, 2015

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Abstract

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Systems and methods perform a first monitoring of a printing engine to produce first data; match a disturbance model that empirically describes types of color variation in a print process to the first data; generate a minimum variance control system based on the identified parameters of the disturbance model. The systems/methods infer a benchmark performance level the minimum variance control system achieves using the disturbance model; adjust operating parameters of a controller of the printing engine to match parameters of the minimum variance control system; perform a second monitoring of the printing engine to produce second data; determine a difference value between the benchmark performance level and the second data. If the difference value is above a first value and below a second value, the process is repeated. If the difference value is above the first value and the second value, an indication that the printing engine needs servicing is provided.

First claim

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What is claimed is: 1. A method comprising: performing a first monitoring of printing results of a printing engine by finding how said printing results vary from targeted print results to produce first data, using a computerized device, said first data comprising variations from said targeted print results; matching a disturbance model that empirically describes types of color variation in a print process to said first data, using said computerized device; generating a minimum…

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What does patent US9158643B2 cover?
Systems and methods perform a first monitoring of a printing engine to produce first data; match a disturbance model that empirically describes types of color variation in a print process to the first data; generate a minimum variance control system based on the identified parameters of the disturbance model. The systems/methods infer a benchmark performance level the minimum variance control s…
Who is the assignee on this patent?
Gross Eric Michael, Ramesh Palghat Srinivas, Paul Peter, and 1 more
What technology area does this patent fall under?
Primary CPC classification H04N1/6036. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Oct 13 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).