Abstract
Additive faults normally represent changes such as an abrupt increase in feed or a biased sensor, while multiplicative faults usually refer to changes, like variation in system parameters and variance of measurement noise [10, 16, 25, 90].
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© 2017 Springer Fachmedien Wiesbaden GmbH
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Chen, Z. (2017). Improved CCA-based Fault Detection Methods. In: Data-Driven Fault Detection for Industrial Processes. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-16756-1_5
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DOI: https://doi.org/10.1007/978-3-658-16756-1_5
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Publisher Name: Springer Vieweg, Wiesbaden
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Online ISBN: 978-3-658-16756-1
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