Cargando…
Fault Diagnosis for Micro-Gas Turbine Engine Sensors via Wavelet Entropy
Sensor fault diagnosis is necessary to ensure the normal operation of a gas turbine system. However, the existing methods require too many resources and this need can’t be satisfied in some occasions. Since the sensor readings are directly affected by sensor state, sensor fault diagnosis can be perf...
Autores principales: | Yu, Bing, Liu, Dongdong, Zhang, Tianhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231250/ https://www.ncbi.nlm.nih.gov/pubmed/22163734 http://dx.doi.org/10.3390/s111009928 |
Ejemplares similares
-
Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model
por: Wang, Weiying, et al.
Publicado: (2014) -
Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE
por: He, Wei, et al.
Publicado: (2018) -
Low-Pass Filtering Empirical Wavelet Transform Machine Learning Based Fault Diagnosis for Combined Fault of Wind Turbines
por: Xiao, Yancai, et al.
Publicado: (2021) -
Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine
por: Luo, Yulong
Publicado: (2021) -
Stationary Wavelet-Fourier Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis
por: Rodriguez, Nibaldo, et al.
Publicado: (2019)