Fault Diagnosis in Structural Health Monitoring Systems Using Signal Processing and Machine Learning Techniques
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-81716-9_7
Reference44 articles.
1. Glisic B, Inaudi D, Casanova N (2010) SHM process as perceived through 350 projects. In: SPIE 7648, smart sensor phenomena, technology, networks, and systems. San Diego, CA, USA, 04/08/2010, pp 76480P
2. Zhang Z, Mehmood A, Shu L, Huo Z, Zhang Y, Mukherjee M (2018) A survey on fault diagnosis in wireless sensor networks. IEEE Access 6:11349–11364
3. Dragos K, Smarsly K (2016) Distributed adaptive diagnosis of sensor faults using structural response data. Smart Mater Struct 25(10):105019
4. Patton RJ (1991) Fault detection and diagnosis in aerospace systems using analytical redundancy. Comput Control Eng J 2(3):127–136
5. Willsky AS (1976) A survey of design methods for failure detection systems. Automatica 12:601–611
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