Bearing Fault Feature Extraction method: Improved weighted envelope spectrum
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd9e0
Abstract: Many existing cyclic spectrum analysis methods are difficult to solve the bearing fault diagnosis of multi-information frequency band. Based on this, an improved weighted envelope spectrum (IWES) method is proposed. Firstly, IWES uses the fault… read more here.
Keywords: fault information; spectrum; fault; improved weighted ... See more keywords
Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3136235
Abstract: Fault feature extraction plays a significant role in bearing fault diagnosis, especially in incipient fault period. Recently, deep neural network has been favored by many researchers due to its excellent hierarchical feature extraction capabilities. The… read more here.
Keywords: network; fault diagnosis; diagnosis; fault information ... See more keywords
Sequential Data-Driven Automatic Calibration of Wind Turbine Fault Information in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3117958
Abstract: In modern Internet of Things-enabled smart grids, while existing data-driven efforts have made remarkable progress in wind turbine (WT) condition monitoring, the majority of them overlook potential data label errors w.r.t. WT fault information. To… read more here.
Keywords: information; wind turbine; calibration; fault information ... See more keywords
A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3152305
Abstract: Fault diagnosis is essential for the safe operation and subsequent maintenance of mechanical equipment. However, multifault mutual interference brings great challenges to fault diagnosis when multicomponent faults occur simultaneously. Furthermore, since multiple components operate under… read more here.
Keywords: fault information; fault diagnosis; fault; fault sensitivity ... See more keywords