A partial robust M-regression-based prediction and fault detection method
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Publication:1723807
DOI10.1155/2014/304754zbMath1449.62280OpenAlexW2145642669WikidataQ59037992 ScholiaQ59037992MaRDI QIDQ1723807
Jianfang Jiao, Jingxin Zhang, Hamid Reza Karimi
Publication date: 14 February 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/304754
Inference from stochastic processes and prediction (62M20) Nonparametric robustness (62G35) Applications of statistics in engineering and industry; control charts (62P30) Statistics of extreme values; tail inference (62G32)
Cites Work
- Data-driven monitoring for stochastic systems and its application on batch process
- Fault detection for continuous-time switched systems under asynchronous switching
- Robust Fault Detection With Statistical Uncertainty in Identified Parameters
- Fault Detection for Markovian Jump Systems With Sensor Saturations and Randomly Varying Nonlinearities
- Sensor fault estimation and compensation for time-delay switched systems
- Fault detection and diagnosis in industrial systems
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