Data ANALYSIS SERVICES
Overview
Investigating process variability problems can be a confusing and time consuming experience. There are many many potential sources of process variability. Knowledge of variability propagation fundamentals combined with the proper data analysis tools are essential to tracking down and eliminating many variability problems.
Time Series Analysis software provides a powerful analytical basis for characterizing process variability, investigating process relationships and judging control loop performance. We use these analytical tools to assist our clients to identify the sources of process and product variability, to identify control loop performance problems, and to investigate process relationships.
Time Series Analysis
Time Series Analysis software provides a powerful analytical basis for judging control loop performance and for investigating process relationships
Time Series plots are trend plots, which show the measured variable as a function of time. These are shown along with the calculated mean and variability of the data. Power Spectrum plots show the variability in terms of the period and amplitude of the cycles (frequencies of variation) that are in the data. This is used to compare one variable with another to see if they are strongly related.
Cross Correlation plots indicate if two variables exhibit a similar pattern. These variables are not required to have period variations. The cross correlation plot shows the degree of correlation plotted against the time shift (lag) between the variables required for a given correlation.
How can we help
Our data analysis service includes the following tasks.
- Defining the data collection sample frequency and duration to accurately characterize the variability
- Uploading the collected data, usually in text or excel format.
- Analyzing the data - descriptive statistics, power spectrum and cross correlation plots to characterize the variability and identify cause and effect variables.
- Preparation of a brief report summarizing results with conclusions and precise recommendations