Random Matrix-Based Approach for Data Reduction and Sensor Selection with Application to Degradation Index Construction
- Resource Type
- Conference
- Authors
- Kioye, Togo Jean Yves; Kharouf, Malika; Huynh, Khac Tuan
- Source
- 2022 6th International Conference on System Reliability and Safety (ICSRS) System Reliability and Safety (ICSRS), 2022 6th International Conference on. :279-285 Nov, 2022
- Subject
- Power, Energy and Industry Applications
Degradation
Soft sensors
Sensor systems and applications
Safety
Reliability
Indexes
Prognostics and health management
Data reduction
sensors selection
random matrix theory
degradation index
2008 PHM dataset
- Language
This paper relies on the random matrix theory to reduce data dimension and to identify useful data sources in the unsupervised context. A so-called random matrix based principal component analysis algorithm is thus developed and then applied to the well-known 2008 PHM dataset to build efficient but less costly degradation indices. A comparison of the degradation indices obtained with and without sensors selection confirms the performances of our proposed approach.