Method for automatically shifting a base line
AssigneeInotera Memories, Inc.
InventorPO-TSANG CHEN
Life of this patent
Estimating the term…
Abstract
A method for automatically shifting the base line has the following steps. First step is inserting the PM data into the processing data and calculating the original mean value of each section. Depending on the absolute value of the difference between each data point and the first mean value of each section, the data points are ranked. Next step is selecting the data points in the first N % of the ranked data points and then calculating the mean value and standard deviation. Next step is filtering the outlier data and calculating the base lines of each section. At last, the base lines are shifted and corrected into the same level so that the correlation error caused by base line shift is eliminated
Claims6
A method for automatically shifting a base line, comprising:
- collecting processing data in time series and predictive maintenance (PM) data in time series,
- and inserting the predictive maintenance (PM) data into the processing data for figuring out a processing section before predictive maintenance, a predictive maintenance section, and a processing section after predictive maintenance;
- calculating an original mean value and an original standard deviation for each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance;
- filtering outlier data, and calculating a first mean value and a first standard deviation for each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance;
- calculating a difference between value of each data point of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance and the first mean value of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance, and ranking the data points of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance depending on absolute value of the difference;
- selecting first N % data points of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance, and calculating a second mean value and a second standard deviation for the first N % data points of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance;
- filtering outlier data, and calculating a third mean value and a third standard deviation for each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance, wherein the mean value of each section is a base line of each section of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance;
- and
- shifting and aligning the base lines of the processing section before predictive maintenance, the predictive maintenance section, and the processing section after predictive maintenance.
Dependencies are inferred from the claim text.