Tracking time-varying properties using quasi time-invariant models with Bayesian dynamic programming
Tracking the temporal variation of the properties of a system is relevant in different settings when data of extended duration is available, e.g., anomaly detection, condition monitoring, and trend identification. One simple approach is to divide the data into non-overlapping segments and then ident...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180079 |
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Institution: | Nanyang Technological University |
Language: | English |
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