Power Curve Monitoring with Flexible EWMA Control Charts

Georg Helbing · Matthias Ritter

9 citations0/0 files storedInternational Conference on Promising Electronic Technologies (ICPET)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Advanced Statistical Process Monitoring Wind Energy Research and Development Fault Detection and Control Systems

Abstract

EWMA control charts have been used by several authors to monitor residuals of power curves for fault detection in wind turbines. In this study, we analyze the effect of non-constant variance in the residuals of a power curve on the performance of an EWMA control chart. We show that the variance can be modelled as a function of wind speed and use this insight to derive wind speed-adjusted control limits. A subsequent application of this procedure to a real data set spanning 2.5 years and on simulated data shows that it is able to slightly reduce the false alarm rate of the EWMA control chart.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 9 citations exist upstream.

References

1977Book Review: Time Series Analysis: Forecasting and Control 1992Introduction to Statistical Quality Control 1971Time Series Analysis Forecasting and Control.2002Multivariate Statistical Process Control with Industrial Applications 1997Introduction to Statistical Quality Control 2016Power curve monitoring using weighted moving average control charts

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.