@inproceedings{69e3ffd989774a1bb9e48915de5c9ab6,
title = "A cuscore statistic for monitoring degradation paths",
abstract = "The main objective of modeling the degradation path of a device is to predict its eventual time-to-failure. When a system is operated on-field, abrupt and unexpected changes in ambient conditions could potentially cause deviations from the expected degradation path, such as an acceleration to a state of failure. Previous estimates of lifetime distributions become inaccurate because the fitted model may no longer be a satisfactory representation of the degradation path. This paper shows the application of a Cuscore statistic to detect a downward shift in the gradient of a deterministic trend buried in autocorrelated noise. The proposed diagnostic methodology finds an application in monitoring the natural degradation of solar photovoltaic modules installed on-field.",
keywords = "Degradation, Statistical process control",
author = "Michelle Mancenido and Rong Pan",
year = "2012",
month = dec,
day = "1",
language = "English (US)",
isbn = "9780976348689",
series = "Proceedings - 18th ISSAT International Conference on Reliability and Quality in Design",
pages = "121--125",
booktitle = "Proceedings - 18th ISSAT International Conference on Reliability and Quality in Design",
note = "18th ISSAT International Conference on Reliability and Quality in Design ; Conference date: 26-07-2012 Through 28-07-2012",
}