Abstract
Statistical process control (SPC) is a well-known method to monitor behavior and control of process parameters through statistical analysis. In power quality (PQ), we can apply this method to PQ parameters such as harmonics, imbalance, and flicker to analyze when values are outside a normal range. However, the normal range for these PQ parameters can vary depending on known conditions relating to time of day, day of the week, or even time of year. To have a tighter set of continuous control during these periods, a dynamic set of limits would be preferred over one static limit to highlight unknown abnormalities. This paper analyzes methods to create dynamic statistical process control limits for PQ data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
